Warning: Permanently added '34.207.134.167' (ED25519) to the list of known hosts. 100 753k 100 753k 0 0 55.3M 0 --:--:-- --:--:-- --:--:-- 56.5M INFO: Reading stdout from command: md5sum fdaPDE_1.1-20.tar.gz Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-aol7b59a/R-CRAN-fdaPDE/R-CRAN-fdaPDE.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-aol7b59a/R-CRAN-fdaPDE --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1726623465.646560 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 5.6 starting (python version = 3.12.1, NVR = mock-5.6-1.fc39), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-aol7b59a/R-CRAN-fdaPDE/R-CRAN-fdaPDE.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-aol7b59a/R-CRAN-fdaPDE --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1726623465.646560 -r /var/lib/copr-rpmbuild/results/configs/child.cfg Start: init plugins INFO: tmpfs initialized INFO: selinux enabled INFO: chroot_scan: initialized INFO: compress_logs: initialized Finish: init plugins INFO: Signal handler active Start: run INFO: Start(/var/lib/copr-rpmbuild/workspace/workdir-aol7b59a/R-CRAN-fdaPDE/R-CRAN-fdaPDE.spec) Config(fedora-39-x86_64) Start: clean chroot Finish: clean chroot Mock Version: 5.6 INFO: Mock Version: 5.6 Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-39-x86_64-1726623465.646560/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Package manager dnf detected and used (fallback) INFO: Buildroot is handled by package management from host and used with --installroot: rpm-4.19.1.1-1.fc39.x86_64 rpm-sequoia-1.6.0-1.fc39.x86_64 python3-dnf-4.21.1-1.fc39.noarch python3-dnf-plugins-core-4.9.0-1.fc39.noarch yum-4.21.1-1.fc39.noarch dnf5-5.1.17-2.fc39.x86_64 dnf5-plugins-5.1.17-2.fc39.x86_64 Start: installing minimal buildroot with dnf No matches found for the following disable plugin patterns: local, spacewalk, versionlock Updating Subscription Management repositories. Unable to read consumer identity This system is not registered with an entitlement server. You can use subscription-manager to register. Copr repository 93 kB/s | 1.5 kB 00:00 Copr repository 305 MB/s | 27 MB 00:00 fedora 110 kB/s | 31 kB 00:00 updates 237 kB/s | 27 kB 00:00 Dependencies resolved. ================================================================================ Package Arch Version Repo Size ================================================================================ Installing group/module packages: bash x86_64 5.2.26-1.fc39 updates 1.8 M bzip2 x86_64 1.0.8-16.fc39 fedora 52 k coreutils x86_64 9.3-6.fc39 updates 1.1 M cpio x86_64 2.14-4.fc39 fedora 279 k diffutils x86_64 3.10-3.fc39 fedora 398 k fedora-release-common noarch 39-36 updates 19 k findutils x86_64 1:4.9.0-6.fc39 updates 490 k gawk x86_64 5.2.2-2.fc39 fedora 1.1 M glibc-minimal-langpack x86_64 2.38-18.fc39 updates 73 k grep x86_64 3.11-3.fc39 fedora 298 k gzip x86_64 1.12-6.fc39 fedora 166 k info x86_64 7.0.3-3.fc39 fedora 182 k patch x86_64 2.7.6-22.fc39 fedora 125 k redhat-rpm-config noarch 266-1.fc39 updates 78 k rpm-build x86_64 4.19.1.1-1.fc39 updates 78 k sed x86_64 4.8-14.fc39 fedora 306 k shadow-utils x86_64 2:4.14.0-2.fc39 updates 1.3 M tar x86_64 2:1.35-2.fc39 fedora 864 k unzip x86_64 6.0-62.fc39 fedora 184 k util-linux x86_64 2.39.4-1.fc39 updates 1.2 M which x86_64 2.21-40.fc39 fedora 42 k xz x86_64 5.4.4-1.fc39 fedora 556 k Installing dependencies: alternatives x86_64 1.26-1.fc39 updates 39 k ansible-srpm-macros noarch 1-12.fc39 updates 21 k audit-libs x86_64 3.1.5-1.fc39 updates 123 k authselect x86_64 1.4.3-1.fc39 fedora 149 k authselect-libs x86_64 1.4.3-1.fc39 fedora 249 k basesystem noarch 11-18.fc39 fedora 7.2 k binutils x86_64 2.40-14.fc39 updates 5.6 M binutils-gold x86_64 2.40-14.fc39 updates 795 k bzip2-libs x86_64 1.0.8-16.fc39 fedora 41 k ca-certificates noarch 2023.2.60_v7.0.306-2.fc39 fedora 837 k coreutils-common x86_64 9.3-6.fc39 updates 2.1 M cracklib x86_64 2.9.11-2.fc39 fedora 94 k crypto-policies noarch 20231204-1.git1e3a2e4.fc39 updates 100 k curl x86_64 8.2.1-5.fc39 updates 344 k cyrus-sasl-lib x86_64 2.1.28-11.fc39 fedora 793 k debugedit x86_64 5.0-12.fc39 updates 79 k dwz x86_64 0.15-3.fc39 fedora 134 k ed x86_64 1.19-4.fc39 fedora 79 k efi-srpm-macros noarch 5-9.fc39 fedora 22 k elfutils x86_64 0.191-2.fc39 updates 559 k elfutils-debuginfod-client x86_64 0.191-2.fc39 updates 38 k elfutils-default-yama-scope noarch 0.191-2.fc39 updates 13 k elfutils-libelf x86_64 0.191-2.fc39 updates 209 k elfutils-libs x86_64 0.191-2.fc39 updates 263 k fedora-gpg-keys noarch 39-2 updates 130 k fedora-release noarch 39-36 updates 8.6 k fedora-release-identity-basic noarch 39-36 updates 9.4 k fedora-repos noarch 39-2 updates 9.3 k file x86_64 5.44-5.fc39 fedora 49 k file-libs x86_64 5.44-5.fc39 fedora 729 k filesystem x86_64 3.18-6.fc39 fedora 1.1 M fonts-srpm-macros noarch 1:2.0.5-12.fc39 fedora 26 k forge-srpm-macros noarch 0.3.1-1.fc39 updates 19 k fpc-srpm-macros noarch 1.3-8.fc39 fedora 7.4 k gdb-minimal x86_64 15.1-1.fc39 updates 4.3 M gdbm-libs x86_64 1:1.23-4.fc39 fedora 56 k ghc-srpm-macros noarch 1.6.1-2.fc39 fedora 7.8 k glibc x86_64 2.38-18.fc39 updates 2.2 M glibc-common x86_64 2.38-18.fc39 updates 353 k glibc-gconv-extra x86_64 2.38-18.fc39 updates 1.6 M gmp x86_64 1:6.2.1-5.fc39 fedora 313 k gnat-srpm-macros noarch 6-3.fc39 fedora 8.8 k go-srpm-macros noarch 3.5.0-1.fc39 updates 28 k jansson x86_64 2.13.1-7.fc39 fedora 44 k kernel-srpm-macros noarch 1.0-20.fc39 fedora 10 k keyutils-libs x86_64 1.6.3-1.fc39 updates 31 k krb5-libs x86_64 1.21.3-1.fc39 updates 764 k libacl x86_64 2.3.1-9.fc39 updates 23 k libarchive x86_64 3.7.1-2.fc39 updates 407 k libattr x86_64 2.5.1-8.fc39 fedora 18 k libblkid x86_64 2.39.4-1.fc39 updates 116 k libbrotli x86_64 1.1.0-1.fc39 fedora 336 k libcap x86_64 2.48-9.fc39 updates 68 k libcap-ng x86_64 0.8.3-8.fc39 fedora 32 k libcom_err x86_64 1.47.0-2.fc39 fedora 26 k libcurl x86_64 8.2.1-5.fc39 updates 322 k libdb x86_64 5.3.28-56.fc39 fedora 760 k libeconf x86_64 0.5.2-2.fc39 updates 30 k libevent x86_64 2.1.12-9.fc39 fedora 258 k libfdisk x86_64 2.39.4-1.fc39 updates 161 k libffi x86_64 3.4.4-4.fc39 fedora 40 k libgcc x86_64 13.3.1-1.fc39 updates 118 k libgomp x86_64 13.3.1-1.fc39 updates 328 k libidn2 x86_64 2.3.7-1.fc39 updates 119 k libmount x86_64 2.39.4-1.fc39 updates 154 k libnghttp2 x86_64 1.55.1-5.fc39 updates 75 k libnsl2 x86_64 2.0.0-6.fc39 fedora 30 k libpkgconf x86_64 1.9.5-2.fc39 fedora 38 k libpsl x86_64 0.21.2-4.fc39 fedora 63 k libpwquality x86_64 1.4.5-6.fc39 fedora 120 k libselinux x86_64 3.5-5.fc39 fedora 87 k libsemanage x86_64 3.5-4.fc39 fedora 120 k libsepol x86_64 3.5-2.fc39 fedora 324 k libsigsegv x86_64 2.14-5.fc39 fedora 27 k libsmartcols x86_64 2.39.4-1.fc39 updates 67 k libssh x86_64 0.10.6-2.fc39 updates 212 k libssh-config noarch 0.10.6-2.fc39 updates 9.0 k libstdc++ x86_64 13.3.1-1.fc39 updates 869 k libtasn1 x86_64 4.19.0-3.fc39 fedora 74 k libtirpc x86_64 1.3.5-0.fc39 updates 94 k libtool-ltdl x86_64 2.4.7-7.fc39 fedora 36 k libunistring x86_64 1.1-5.fc39 fedora 543 k libutempter x86_64 1.2.1-10.fc39 fedora 26 k libuuid x86_64 2.39.4-1.fc39 updates 28 k libverto x86_64 0.3.2-6.fc39 fedora 20 k libxcrypt x86_64 4.4.36-2.fc39 fedora 119 k libxml2 x86_64 2.10.4-3.fc39 fedora 701 k libzstd x86_64 1.5.6-1.fc39 updates 312 k lua-libs x86_64 5.4.6-3.fc39 fedora 133 k lua-srpm-macros noarch 1-13.fc39 updates 8.7 k lz4-libs x86_64 1.9.4-4.fc39 fedora 67 k mpfr x86_64 4.2.0-3.fc39 fedora 344 k ncurses-base noarch 6.4-7.20230520.fc39.1 updates 88 k ncurses-libs x86_64 6.4-7.20230520.fc39.1 updates 336 k ocaml-srpm-macros noarch 8-2.fc39 fedora 14 k openblas-srpm-macros noarch 2-14.fc39 fedora 7.5 k openldap x86_64 2.6.7-1.fc39 updates 254 k openssl-libs x86_64 1:3.1.4-3.fc39 updates 2.2 M p11-kit x86_64 0.25.5-1.fc39 updates 515 k p11-kit-trust x86_64 0.25.5-1.fc39 updates 138 k package-notes-srpm-macros noarch 0.5-9.fc39 fedora 11 k pam x86_64 1.5.3-3.fc39 updates 542 k pam-libs x86_64 1.5.3-3.fc39 updates 56 k pcre2 x86_64 10.42-1.fc39.2 fedora 233 k pcre2-syntax noarch 10.42-1.fc39.2 fedora 143 k perl-srpm-macros noarch 1-51.fc39 fedora 8.0 k pkgconf x86_64 1.9.5-2.fc39 fedora 42 k pkgconf-m4 noarch 1.9.5-2.fc39 fedora 14 k pkgconf-pkg-config x86_64 1.9.5-2.fc39 fedora 9.6 k popt x86_64 1.19-3.fc39 fedora 66 k publicsuffix-list-dafsa noarch 20240107-1.fc39 updates 58 k pyproject-srpm-macros noarch 1.13.0-1.fc39 updates 13 k python-srpm-macros noarch 3.12-8.fc39 updates 23 k qt5-srpm-macros noarch 5.15.14-2.fc39 updates 8.9 k qt6-srpm-macros noarch 6.6.2-1.fc39 updates 8.9 k readline x86_64 8.2-6.fc39 updates 212 k rpm x86_64 4.19.1.1-1.fc39 updates 538 k rpm-build-libs x86_64 4.19.1.1-1.fc39 updates 95 k rpm-libs x86_64 4.19.1.1-1.fc39 updates 312 k rpm-sequoia x86_64 1.7.0-1.fc39 updates 904 k rpmautospec-rpm-macros noarch 0.7.2-1.fc39 updates 10 k rust-srpm-macros noarch 26.3-1.fc39 updates 13 k setup noarch 2.14.4-1.fc39 fedora 154 k sqlite-libs x86_64 3.42.0-7.fc39 fedora 678 k systemd-libs x86_64 254.16-1.fc39 updates 683 k util-linux-core x86_64 2.39.4-1.fc39 updates 507 k xxhash-libs x86_64 0.8.2-1.fc39 fedora 37 k xz-libs x86_64 5.4.4-1.fc39 fedora 108 k zip x86_64 3.0-39.fc39 fedora 266 k zlib x86_64 1.2.13-4.fc39 fedora 94 k zstd x86_64 1.5.6-1.fc39 updates 479 k Installing Groups: Buildsystem building group Transaction Summary ================================================================================ Install 153 Packages Total size: 52 M Installed size: 179 M Downloading Packages: [SKIPPED] authselect-1.4.3-1.fc39.x86_64.rpm: Already downloaded [SKIPPED] authselect-libs-1.4.3-1.fc39.x86_64.rpm: Already downloaded [SKIPPED] basesystem-11-18.fc39.noarch.rpm: Already downloaded [SKIPPED] bzip2-1.0.8-16.fc39.x86_64.rpm: Already downloaded [SKIPPED] bzip2-libs-1.0.8-16.fc39.x86_64.rpm: Already downloaded [SKIPPED] ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch.rpm: Already downloaded [SKIPPED] cpio-2.14-4.fc39.x86_64.rpm: Already downloaded [SKIPPED] cracklib-2.9.11-2.fc39.x86_64.rpm: Already downloaded [SKIPPED] cyrus-sasl-lib-2.1.28-11.fc39.x86_64.rpm: Already downloaded [SKIPPED] diffutils-3.10-3.fc39.x86_64.rpm: Already downloaded [SKIPPED] dwz-0.15-3.fc39.x86_64.rpm: Already downloaded [SKIPPED] ed-1.19-4.fc39.x86_64.rpm: Already downloaded [SKIPPED] efi-srpm-macros-5-9.fc39.noarch.rpm: Already downloaded [SKIPPED] file-5.44-5.fc39.x86_64.rpm: Already downloaded [SKIPPED] file-libs-5.44-5.fc39.x86_64.rpm: Already downloaded [SKIPPED] filesystem-3.18-6.fc39.x86_64.rpm: Already downloaded [SKIPPED] fonts-srpm-macros-2.0.5-12.fc39.noarch.rpm: Already downloaded [SKIPPED] fpc-srpm-macros-1.3-8.fc39.noarch.rpm: Already downloaded [SKIPPED] gawk-5.2.2-2.fc39.x86_64.rpm: Already downloaded [SKIPPED] gdbm-libs-1.23-4.fc39.x86_64.rpm: Already downloaded [SKIPPED] ghc-srpm-macros-1.6.1-2.fc39.noarch.rpm: Already downloaded [SKIPPED] gmp-6.2.1-5.fc39.x86_64.rpm: Already downloaded [SKIPPED] gnat-srpm-macros-6-3.fc39.noarch.rpm: Already 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openblas-srpm-macros-2-14.fc39.noarch.rpm: Already downloaded [SKIPPED] package-notes-srpm-macros-0.5-9.fc39.noarch.rpm: Already downloaded [SKIPPED] patch-2.7.6-22.fc39.x86_64.rpm: Already downloaded [SKIPPED] pcre2-10.42-1.fc39.2.x86_64.rpm: Already downloaded [SKIPPED] pcre2-syntax-10.42-1.fc39.2.noarch.rpm: Already downloaded [SKIPPED] perl-srpm-macros-1-51.fc39.noarch.rpm: Already downloaded [SKIPPED] pkgconf-1.9.5-2.fc39.x86_64.rpm: Already downloaded [SKIPPED] pkgconf-m4-1.9.5-2.fc39.noarch.rpm: Already downloaded [SKIPPED] pkgconf-pkg-config-1.9.5-2.fc39.x86_64.rpm: Already downloaded [SKIPPED] popt-1.19-3.fc39.x86_64.rpm: Already downloaded [SKIPPED] sed-4.8-14.fc39.x86_64.rpm: Already downloaded [SKIPPED] setup-2.14.4-1.fc39.noarch.rpm: Already downloaded [SKIPPED] sqlite-libs-3.42.0-7.fc39.x86_64.rpm: Already downloaded [SKIPPED] tar-1.35-2.fc39.x86_64.rpm: Already downloaded [SKIPPED] unzip-6.0-62.fc39.x86_64.rpm: Already downloaded [SKIPPED] which-2.21-40.fc39.x86_64.rpm: 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debugedit-5.0-12.fc39.x86_64.rpm: Already downloaded [SKIPPED] elfutils-0.191-2.fc39.x86_64.rpm: Already downloaded [SKIPPED] elfutils-debuginfod-client-0.191-2.fc39.x86_64.rpm: Already downloaded [SKIPPED] elfutils-default-yama-scope-0.191-2.fc39.noarch.rpm: Already downloaded [SKIPPED] elfutils-libelf-0.191-2.fc39.x86_64.rpm: Already downloaded [SKIPPED] elfutils-libs-0.191-2.fc39.x86_64.rpm: Already downloaded [SKIPPED] fedora-gpg-keys-39-2.noarch.rpm: Already downloaded [SKIPPED] fedora-release-39-36.noarch.rpm: Already downloaded [SKIPPED] fedora-release-common-39-36.noarch.rpm: Already downloaded [SKIPPED] fedora-release-identity-basic-39-36.noarch.rpm: Already downloaded [SKIPPED] fedora-repos-39-2.noarch.rpm: Already downloaded [SKIPPED] findutils-4.9.0-6.fc39.x86_64.rpm: Already downloaded [SKIPPED] forge-srpm-macros-0.3.1-1.fc39.noarch.rpm: Already downloaded [SKIPPED] gdb-minimal-15.1-1.fc39.x86_64.rpm: Already downloaded [SKIPPED] glibc-2.38-18.fc39.x86_64.rpm: Already 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rpm-libs-4.19.1.1-1.fc39.x86_64.rpm: Already downloaded [SKIPPED] rpm-sequoia-1.7.0-1.fc39.x86_64.rpm: Already downloaded [SKIPPED] rpmautospec-rpm-macros-0.7.2-1.fc39.noarch.rpm: Already downloaded [SKIPPED] rust-srpm-macros-26.3-1.fc39.noarch.rpm: Already downloaded [SKIPPED] shadow-utils-4.14.0-2.fc39.x86_64.rpm: Already downloaded [SKIPPED] systemd-libs-254.16-1.fc39.x86_64.rpm: Already downloaded [SKIPPED] util-linux-2.39.4-1.fc39.x86_64.rpm: Already downloaded [SKIPPED] util-linux-core-2.39.4-1.fc39.x86_64.rpm: Already downloaded [SKIPPED] zstd-1.5.6-1.fc39.x86_64.rpm: Already downloaded fedora 1.6 MB/s | 1.6 kB 00:00 Importing GPG key 0x18B8E74C: Userid : "Fedora (39) " Fingerprint: E8F2 3996 F232 1864 0CB4 4CBE 75CF 5AC4 18B8 E74C From : /usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-39-primary Key imported successfully Running transaction check Transaction check succeeded. Running transaction test Transaction test succeeded. 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29/153 Verifying : libbrotli-1.1.0-1.fc39.x86_64 30/153 Verifying : libcap-ng-0.8.3-8.fc39.x86_64 31/153 Verifying : libcom_err-1.47.0-2.fc39.x86_64 32/153 Verifying : libdb-5.3.28-56.fc39.x86_64 33/153 Verifying : libevent-2.1.12-9.fc39.x86_64 34/153 Verifying : libffi-3.4.4-4.fc39.x86_64 35/153 Verifying : libnsl2-2.0.0-6.fc39.x86_64 36/153 Verifying : libpkgconf-1.9.5-2.fc39.x86_64 37/153 Verifying : libpsl-0.21.2-4.fc39.x86_64 38/153 Verifying : libpwquality-1.4.5-6.fc39.x86_64 39/153 Verifying : libselinux-3.5-5.fc39.x86_64 40/153 Verifying : libsemanage-3.5-4.fc39.x86_64 41/153 Verifying : libsepol-3.5-2.fc39.x86_64 42/153 Verifying : libsigsegv-2.14-5.fc39.x86_64 43/153 Verifying : libtasn1-4.19.0-3.fc39.x86_64 44/153 Verifying : libtool-ltdl-2.4.7-7.fc39.x86_64 45/153 Verifying : libunistring-1.1-5.fc39.x86_64 46/153 Verifying : libutempter-1.2.1-10.fc39.x86_64 47/153 Verifying : libverto-0.3.2-6.fc39.x86_64 48/153 Verifying : libxcrypt-4.4.36-2.fc39.x86_64 49/153 Verifying : libxml2-2.10.4-3.fc39.x86_64 50/153 Verifying : lua-libs-5.4.6-3.fc39.x86_64 51/153 Verifying : lz4-libs-1.9.4-4.fc39.x86_64 52/153 Verifying : mpfr-4.2.0-3.fc39.x86_64 53/153 Verifying : ocaml-srpm-macros-8-2.fc39.noarch 54/153 Verifying : openblas-srpm-macros-2-14.fc39.noarch 55/153 Verifying : package-notes-srpm-macros-0.5-9.fc39.noarch 56/153 Verifying : patch-2.7.6-22.fc39.x86_64 57/153 Verifying : pcre2-10.42-1.fc39.2.x86_64 58/153 Verifying : pcre2-syntax-10.42-1.fc39.2.noarch 59/153 Verifying : perl-srpm-macros-1-51.fc39.noarch 60/153 Verifying : pkgconf-1.9.5-2.fc39.x86_64 61/153 Verifying : pkgconf-m4-1.9.5-2.fc39.noarch 62/153 Verifying : pkgconf-pkg-config-1.9.5-2.fc39.x86_64 63/153 Verifying : popt-1.19-3.fc39.x86_64 64/153 Verifying : sed-4.8-14.fc39.x86_64 65/153 Verifying : setup-2.14.4-1.fc39.noarch 66/153 Verifying : sqlite-libs-3.42.0-7.fc39.x86_64 67/153 Verifying : tar-2:1.35-2.fc39.x86_64 68/153 Verifying : unzip-6.0-62.fc39.x86_64 69/153 Verifying : which-2.21-40.fc39.x86_64 70/153 Verifying : xxhash-libs-0.8.2-1.fc39.x86_64 71/153 Verifying : xz-5.4.4-1.fc39.x86_64 72/153 Verifying : xz-libs-5.4.4-1.fc39.x86_64 73/153 Verifying : zip-3.0-39.fc39.x86_64 74/153 Verifying : zlib-1.2.13-4.fc39.x86_64 75/153 Verifying : alternatives-1.26-1.fc39.x86_64 76/153 Verifying : ansible-srpm-macros-1-12.fc39.noarch 77/153 Verifying : audit-libs-3.1.5-1.fc39.x86_64 78/153 Verifying : bash-5.2.26-1.fc39.x86_64 79/153 Verifying : binutils-2.40-14.fc39.x86_64 80/153 Verifying : binutils-gold-2.40-14.fc39.x86_64 81/153 Verifying : coreutils-9.3-6.fc39.x86_64 82/153 Verifying : coreutils-common-9.3-6.fc39.x86_64 83/153 Verifying : crypto-policies-20231204-1.git1e3a2e4.fc39.noarc 84/153 Verifying : curl-8.2.1-5.fc39.x86_64 85/153 Verifying : debugedit-5.0-12.fc39.x86_64 86/153 Verifying : elfutils-0.191-2.fc39.x86_64 87/153 Verifying : elfutils-debuginfod-client-0.191-2.fc39.x86_64 88/153 Verifying : elfutils-default-yama-scope-0.191-2.fc39.noarch 89/153 Verifying : elfutils-libelf-0.191-2.fc39.x86_64 90/153 Verifying : elfutils-libs-0.191-2.fc39.x86_64 91/153 Verifying : fedora-gpg-keys-39-2.noarch 92/153 Verifying : fedora-release-39-36.noarch 93/153 Verifying : fedora-release-common-39-36.noarch 94/153 Verifying : fedora-release-identity-basic-39-36.noarch 95/153 Verifying : fedora-repos-39-2.noarch 96/153 Verifying : findutils-1:4.9.0-6.fc39.x86_64 97/153 Verifying : forge-srpm-macros-0.3.1-1.fc39.noarch 98/153 Verifying : gdb-minimal-15.1-1.fc39.x86_64 99/153 Verifying : glibc-2.38-18.fc39.x86_64 100/153 Verifying : glibc-common-2.38-18.fc39.x86_64 101/153 Verifying : glibc-gconv-extra-2.38-18.fc39.x86_64 102/153 Verifying : glibc-minimal-langpack-2.38-18.fc39.x86_64 103/153 Verifying : go-srpm-macros-3.5.0-1.fc39.noarch 104/153 Verifying : keyutils-libs-1.6.3-1.fc39.x86_64 105/153 Verifying : krb5-libs-1.21.3-1.fc39.x86_64 106/153 Verifying : libacl-2.3.1-9.fc39.x86_64 107/153 Verifying : libarchive-3.7.1-2.fc39.x86_64 108/153 Verifying : libblkid-2.39.4-1.fc39.x86_64 109/153 Verifying : libcap-2.48-9.fc39.x86_64 110/153 Verifying : libcurl-8.2.1-5.fc39.x86_64 111/153 Verifying : libeconf-0.5.2-2.fc39.x86_64 112/153 Verifying : libfdisk-2.39.4-1.fc39.x86_64 113/153 Verifying : libgcc-13.3.1-1.fc39.x86_64 114/153 Verifying : libgomp-13.3.1-1.fc39.x86_64 115/153 Verifying : libidn2-2.3.7-1.fc39.x86_64 116/153 Verifying : libmount-2.39.4-1.fc39.x86_64 117/153 Verifying : libnghttp2-1.55.1-5.fc39.x86_64 118/153 Verifying : libsmartcols-2.39.4-1.fc39.x86_64 119/153 Verifying : libssh-0.10.6-2.fc39.x86_64 120/153 Verifying : libssh-config-0.10.6-2.fc39.noarch 121/153 Verifying : libstdc++-13.3.1-1.fc39.x86_64 122/153 Verifying : libtirpc-1.3.5-0.fc39.x86_64 123/153 Verifying : libuuid-2.39.4-1.fc39.x86_64 124/153 Verifying : libzstd-1.5.6-1.fc39.x86_64 125/153 Verifying : lua-srpm-macros-1-13.fc39.noarch 126/153 Verifying : ncurses-base-6.4-7.20230520.fc39.1.noarch 127/153 Verifying : ncurses-libs-6.4-7.20230520.fc39.1.x86_64 128/153 Verifying : openldap-2.6.7-1.fc39.x86_64 129/153 Verifying : openssl-libs-1:3.1.4-3.fc39.x86_64 130/153 Verifying : p11-kit-0.25.5-1.fc39.x86_64 131/153 Verifying : p11-kit-trust-0.25.5-1.fc39.x86_64 132/153 Verifying : pam-1.5.3-3.fc39.x86_64 133/153 Verifying : pam-libs-1.5.3-3.fc39.x86_64 134/153 Verifying : publicsuffix-list-dafsa-20240107-1.fc39.noarch 135/153 Verifying : pyproject-srpm-macros-1.13.0-1.fc39.noarch 136/153 Verifying : python-srpm-macros-3.12-8.fc39.noarch 137/153 Verifying : qt5-srpm-macros-5.15.14-2.fc39.noarch 138/153 Verifying : qt6-srpm-macros-6.6.2-1.fc39.noarch 139/153 Verifying : readline-8.2-6.fc39.x86_64 140/153 Verifying : redhat-rpm-config-266-1.fc39.noarch 141/153 Verifying : rpm-4.19.1.1-1.fc39.x86_64 142/153 Verifying : rpm-build-4.19.1.1-1.fc39.x86_64 143/153 Verifying : rpm-build-libs-4.19.1.1-1.fc39.x86_64 144/153 Verifying : rpm-libs-4.19.1.1-1.fc39.x86_64 145/153 Verifying : rpm-sequoia-1.7.0-1.fc39.x86_64 146/153 Verifying : rpmautospec-rpm-macros-0.7.2-1.fc39.noarch 147/153 Verifying : rust-srpm-macros-26.3-1.fc39.noarch 148/153 Verifying : shadow-utils-2:4.14.0-2.fc39.x86_64 149/153 Verifying : systemd-libs-254.16-1.fc39.x86_64 150/153 Verifying : util-linux-2.39.4-1.fc39.x86_64 151/153 Verifying : util-linux-core-2.39.4-1.fc39.x86_64 152/153 Verifying : zstd-1.5.6-1.fc39.x86_64 153/153 Installed products updated. Installed: alternatives-1.26-1.fc39.x86_64 ansible-srpm-macros-1-12.fc39.noarch audit-libs-3.1.5-1.fc39.x86_64 authselect-1.4.3-1.fc39.x86_64 authselect-libs-1.4.3-1.fc39.x86_64 basesystem-11-18.fc39.noarch bash-5.2.26-1.fc39.x86_64 binutils-2.40-14.fc39.x86_64 binutils-gold-2.40-14.fc39.x86_64 bzip2-1.0.8-16.fc39.x86_64 bzip2-libs-1.0.8-16.fc39.x86_64 ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch coreutils-9.3-6.fc39.x86_64 coreutils-common-9.3-6.fc39.x86_64 cpio-2.14-4.fc39.x86_64 cracklib-2.9.11-2.fc39.x86_64 crypto-policies-20231204-1.git1e3a2e4.fc39.noarch curl-8.2.1-5.fc39.x86_64 cyrus-sasl-lib-2.1.28-11.fc39.x86_64 debugedit-5.0-12.fc39.x86_64 diffutils-3.10-3.fc39.x86_64 dwz-0.15-3.fc39.x86_64 ed-1.19-4.fc39.x86_64 efi-srpm-macros-5-9.fc39.noarch elfutils-0.191-2.fc39.x86_64 elfutils-debuginfod-client-0.191-2.fc39.x86_64 elfutils-default-yama-scope-0.191-2.fc39.noarch elfutils-libelf-0.191-2.fc39.x86_64 elfutils-libs-0.191-2.fc39.x86_64 fedora-gpg-keys-39-2.noarch fedora-release-39-36.noarch fedora-release-common-39-36.noarch fedora-release-identity-basic-39-36.noarch fedora-repos-39-2.noarch file-5.44-5.fc39.x86_64 file-libs-5.44-5.fc39.x86_64 filesystem-3.18-6.fc39.x86_64 findutils-1:4.9.0-6.fc39.x86_64 fonts-srpm-macros-1:2.0.5-12.fc39.noarch forge-srpm-macros-0.3.1-1.fc39.noarch fpc-srpm-macros-1.3-8.fc39.noarch gawk-5.2.2-2.fc39.x86_64 gdb-minimal-15.1-1.fc39.x86_64 gdbm-libs-1:1.23-4.fc39.x86_64 ghc-srpm-macros-1.6.1-2.fc39.noarch glibc-2.38-18.fc39.x86_64 glibc-common-2.38-18.fc39.x86_64 glibc-gconv-extra-2.38-18.fc39.x86_64 glibc-minimal-langpack-2.38-18.fc39.x86_64 gmp-1:6.2.1-5.fc39.x86_64 gnat-srpm-macros-6-3.fc39.noarch go-srpm-macros-3.5.0-1.fc39.noarch grep-3.11-3.fc39.x86_64 gzip-1.12-6.fc39.x86_64 info-7.0.3-3.fc39.x86_64 jansson-2.13.1-7.fc39.x86_64 kernel-srpm-macros-1.0-20.fc39.noarch keyutils-libs-1.6.3-1.fc39.x86_64 krb5-libs-1.21.3-1.fc39.x86_64 libacl-2.3.1-9.fc39.x86_64 libarchive-3.7.1-2.fc39.x86_64 libattr-2.5.1-8.fc39.x86_64 libblkid-2.39.4-1.fc39.x86_64 libbrotli-1.1.0-1.fc39.x86_64 libcap-2.48-9.fc39.x86_64 libcap-ng-0.8.3-8.fc39.x86_64 libcom_err-1.47.0-2.fc39.x86_64 libcurl-8.2.1-5.fc39.x86_64 libdb-5.3.28-56.fc39.x86_64 libeconf-0.5.2-2.fc39.x86_64 libevent-2.1.12-9.fc39.x86_64 libfdisk-2.39.4-1.fc39.x86_64 libffi-3.4.4-4.fc39.x86_64 libgcc-13.3.1-1.fc39.x86_64 libgomp-13.3.1-1.fc39.x86_64 libidn2-2.3.7-1.fc39.x86_64 libmount-2.39.4-1.fc39.x86_64 libnghttp2-1.55.1-5.fc39.x86_64 libnsl2-2.0.0-6.fc39.x86_64 libpkgconf-1.9.5-2.fc39.x86_64 libpsl-0.21.2-4.fc39.x86_64 libpwquality-1.4.5-6.fc39.x86_64 libselinux-3.5-5.fc39.x86_64 libsemanage-3.5-4.fc39.x86_64 libsepol-3.5-2.fc39.x86_64 libsigsegv-2.14-5.fc39.x86_64 libsmartcols-2.39.4-1.fc39.x86_64 libssh-0.10.6-2.fc39.x86_64 libssh-config-0.10.6-2.fc39.noarch libstdc++-13.3.1-1.fc39.x86_64 libtasn1-4.19.0-3.fc39.x86_64 libtirpc-1.3.5-0.fc39.x86_64 libtool-ltdl-2.4.7-7.fc39.x86_64 libunistring-1.1-5.fc39.x86_64 libutempter-1.2.1-10.fc39.x86_64 libuuid-2.39.4-1.fc39.x86_64 libverto-0.3.2-6.fc39.x86_64 libxcrypt-4.4.36-2.fc39.x86_64 libxml2-2.10.4-3.fc39.x86_64 libzstd-1.5.6-1.fc39.x86_64 lua-libs-5.4.6-3.fc39.x86_64 lua-srpm-macros-1-13.fc39.noarch lz4-libs-1.9.4-4.fc39.x86_64 mpfr-4.2.0-3.fc39.x86_64 ncurses-base-6.4-7.20230520.fc39.1.noarch ncurses-libs-6.4-7.20230520.fc39.1.x86_64 ocaml-srpm-macros-8-2.fc39.noarch openblas-srpm-macros-2-14.fc39.noarch openldap-2.6.7-1.fc39.x86_64 openssl-libs-1:3.1.4-3.fc39.x86_64 p11-kit-0.25.5-1.fc39.x86_64 p11-kit-trust-0.25.5-1.fc39.x86_64 package-notes-srpm-macros-0.5-9.fc39.noarch pam-1.5.3-3.fc39.x86_64 pam-libs-1.5.3-3.fc39.x86_64 patch-2.7.6-22.fc39.x86_64 pcre2-10.42-1.fc39.2.x86_64 pcre2-syntax-10.42-1.fc39.2.noarch perl-srpm-macros-1-51.fc39.noarch pkgconf-1.9.5-2.fc39.x86_64 pkgconf-m4-1.9.5-2.fc39.noarch pkgconf-pkg-config-1.9.5-2.fc39.x86_64 popt-1.19-3.fc39.x86_64 publicsuffix-list-dafsa-20240107-1.fc39.noarch pyproject-srpm-macros-1.13.0-1.fc39.noarch python-srpm-macros-3.12-8.fc39.noarch qt5-srpm-macros-5.15.14-2.fc39.noarch qt6-srpm-macros-6.6.2-1.fc39.noarch readline-8.2-6.fc39.x86_64 redhat-rpm-config-266-1.fc39.noarch rpm-4.19.1.1-1.fc39.x86_64 rpm-build-4.19.1.1-1.fc39.x86_64 rpm-build-libs-4.19.1.1-1.fc39.x86_64 rpm-libs-4.19.1.1-1.fc39.x86_64 rpm-sequoia-1.7.0-1.fc39.x86_64 rpmautospec-rpm-macros-0.7.2-1.fc39.noarch rust-srpm-macros-26.3-1.fc39.noarch sed-4.8-14.fc39.x86_64 setup-2.14.4-1.fc39.noarch shadow-utils-2:4.14.0-2.fc39.x86_64 sqlite-libs-3.42.0-7.fc39.x86_64 systemd-libs-254.16-1.fc39.x86_64 tar-2:1.35-2.fc39.x86_64 unzip-6.0-62.fc39.x86_64 util-linux-2.39.4-1.fc39.x86_64 util-linux-core-2.39.4-1.fc39.x86_64 which-2.21-40.fc39.x86_64 xxhash-libs-0.8.2-1.fc39.x86_64 xz-5.4.4-1.fc39.x86_64 xz-libs-5.4.4-1.fc39.x86_64 zip-3.0-39.fc39.x86_64 zlib-1.2.13-4.fc39.x86_64 zstd-1.5.6-1.fc39.x86_64 Complete! Finish: installing minimal buildroot with dnf Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: alternatives-1.26-1.fc39.x86_64 ansible-srpm-macros-1-12.fc39.noarch audit-libs-3.1.5-1.fc39.x86_64 authselect-1.4.3-1.fc39.x86_64 authselect-libs-1.4.3-1.fc39.x86_64 basesystem-11-18.fc39.noarch bash-5.2.26-1.fc39.x86_64 binutils-2.40-14.fc39.x86_64 binutils-gold-2.40-14.fc39.x86_64 bzip2-1.0.8-16.fc39.x86_64 bzip2-libs-1.0.8-16.fc39.x86_64 ca-certificates-2023.2.60_v7.0.306-2.fc39.noarch coreutils-9.3-6.fc39.x86_64 coreutils-common-9.3-6.fc39.x86_64 cpio-2.14-4.fc39.x86_64 cracklib-2.9.11-2.fc39.x86_64 crypto-policies-20231204-1.git1e3a2e4.fc39.noarch curl-8.2.1-5.fc39.x86_64 cyrus-sasl-lib-2.1.28-11.fc39.x86_64 debugedit-5.0-12.fc39.x86_64 diffutils-3.10-3.fc39.x86_64 dwz-0.15-3.fc39.x86_64 ed-1.19-4.fc39.x86_64 efi-srpm-macros-5-9.fc39.noarch elfutils-0.191-2.fc39.x86_64 elfutils-debuginfod-client-0.191-2.fc39.x86_64 elfutils-default-yama-scope-0.191-2.fc39.noarch elfutils-libelf-0.191-2.fc39.x86_64 elfutils-libs-0.191-2.fc39.x86_64 fedora-gpg-keys-39-2.noarch fedora-release-39-36.noarch fedora-release-common-39-36.noarch fedora-release-identity-basic-39-36.noarch fedora-repos-39-2.noarch file-5.44-5.fc39.x86_64 file-libs-5.44-5.fc39.x86_64 filesystem-3.18-6.fc39.x86_64 findutils-4.9.0-6.fc39.x86_64 fonts-srpm-macros-2.0.5-12.fc39.noarch forge-srpm-macros-0.3.1-1.fc39.noarch fpc-srpm-macros-1.3-8.fc39.noarch gawk-5.2.2-2.fc39.x86_64 gdb-minimal-15.1-1.fc39.x86_64 gdbm-libs-1.23-4.fc39.x86_64 ghc-srpm-macros-1.6.1-2.fc39.noarch glibc-2.38-18.fc39.x86_64 glibc-common-2.38-18.fc39.x86_64 glibc-gconv-extra-2.38-18.fc39.x86_64 glibc-minimal-langpack-2.38-18.fc39.x86_64 gmp-6.2.1-5.fc39.x86_64 gnat-srpm-macros-6-3.fc39.noarch go-srpm-macros-3.5.0-1.fc39.noarch gpg-pubkey-18b8e74c-62f2920f grep-3.11-3.fc39.x86_64 gzip-1.12-6.fc39.x86_64 info-7.0.3-3.fc39.x86_64 jansson-2.13.1-7.fc39.x86_64 kernel-srpm-macros-1.0-20.fc39.noarch keyutils-libs-1.6.3-1.fc39.x86_64 krb5-libs-1.21.3-1.fc39.x86_64 libacl-2.3.1-9.fc39.x86_64 libarchive-3.7.1-2.fc39.x86_64 libattr-2.5.1-8.fc39.x86_64 libblkid-2.39.4-1.fc39.x86_64 libbrotli-1.1.0-1.fc39.x86_64 libcap-2.48-9.fc39.x86_64 libcap-ng-0.8.3-8.fc39.x86_64 libcom_err-1.47.0-2.fc39.x86_64 libcurl-8.2.1-5.fc39.x86_64 libdb-5.3.28-56.fc39.x86_64 libeconf-0.5.2-2.fc39.x86_64 libevent-2.1.12-9.fc39.x86_64 libfdisk-2.39.4-1.fc39.x86_64 libffi-3.4.4-4.fc39.x86_64 libgcc-13.3.1-1.fc39.x86_64 libgomp-13.3.1-1.fc39.x86_64 libidn2-2.3.7-1.fc39.x86_64 libmount-2.39.4-1.fc39.x86_64 libnghttp2-1.55.1-5.fc39.x86_64 libnsl2-2.0.0-6.fc39.x86_64 libpkgconf-1.9.5-2.fc39.x86_64 libpsl-0.21.2-4.fc39.x86_64 libpwquality-1.4.5-6.fc39.x86_64 libselinux-3.5-5.fc39.x86_64 libsemanage-3.5-4.fc39.x86_64 libsepol-3.5-2.fc39.x86_64 libsigsegv-2.14-5.fc39.x86_64 libsmartcols-2.39.4-1.fc39.x86_64 libssh-0.10.6-2.fc39.x86_64 libssh-config-0.10.6-2.fc39.noarch libstdc++-13.3.1-1.fc39.x86_64 libtasn1-4.19.0-3.fc39.x86_64 libtirpc-1.3.5-0.fc39.x86_64 libtool-ltdl-2.4.7-7.fc39.x86_64 libunistring-1.1-5.fc39.x86_64 libutempter-1.2.1-10.fc39.x86_64 libuuid-2.39.4-1.fc39.x86_64 libverto-0.3.2-6.fc39.x86_64 libxcrypt-4.4.36-2.fc39.x86_64 libxml2-2.10.4-3.fc39.x86_64 libzstd-1.5.6-1.fc39.x86_64 lua-libs-5.4.6-3.fc39.x86_64 lua-srpm-macros-1-13.fc39.noarch lz4-libs-1.9.4-4.fc39.x86_64 mpfr-4.2.0-3.fc39.x86_64 ncurses-base-6.4-7.20230520.fc39.1.noarch ncurses-libs-6.4-7.20230520.fc39.1.x86_64 ocaml-srpm-macros-8-2.fc39.noarch openblas-srpm-macros-2-14.fc39.noarch openldap-2.6.7-1.fc39.x86_64 openssl-libs-3.1.4-3.fc39.x86_64 p11-kit-0.25.5-1.fc39.x86_64 p11-kit-trust-0.25.5-1.fc39.x86_64 package-notes-srpm-macros-0.5-9.fc39.noarch pam-1.5.3-3.fc39.x86_64 pam-libs-1.5.3-3.fc39.x86_64 patch-2.7.6-22.fc39.x86_64 pcre2-10.42-1.fc39.2.x86_64 pcre2-syntax-10.42-1.fc39.2.noarch perl-srpm-macros-1-51.fc39.noarch pkgconf-1.9.5-2.fc39.x86_64 pkgconf-m4-1.9.5-2.fc39.noarch pkgconf-pkg-config-1.9.5-2.fc39.x86_64 popt-1.19-3.fc39.x86_64 publicsuffix-list-dafsa-20240107-1.fc39.noarch pyproject-srpm-macros-1.13.0-1.fc39.noarch python-srpm-macros-3.12-8.fc39.noarch qt5-srpm-macros-5.15.14-2.fc39.noarch qt6-srpm-macros-6.6.2-1.fc39.noarch readline-8.2-6.fc39.x86_64 redhat-rpm-config-266-1.fc39.noarch rpm-4.19.1.1-1.fc39.x86_64 rpm-build-4.19.1.1-1.fc39.x86_64 rpm-build-libs-4.19.1.1-1.fc39.x86_64 rpm-libs-4.19.1.1-1.fc39.x86_64 rpm-sequoia-1.7.0-1.fc39.x86_64 rpmautospec-rpm-macros-0.7.2-1.fc39.noarch rust-srpm-macros-26.3-1.fc39.noarch sed-4.8-14.fc39.x86_64 setup-2.14.4-1.fc39.noarch shadow-utils-4.14.0-2.fc39.x86_64 sqlite-libs-3.42.0-7.fc39.x86_64 systemd-libs-254.16-1.fc39.x86_64 tar-1.35-2.fc39.x86_64 unzip-6.0-62.fc39.x86_64 util-linux-2.39.4-1.fc39.x86_64 util-linux-core-2.39.4-1.fc39.x86_64 which-2.21-40.fc39.x86_64 xxhash-libs-0.8.2-1.fc39.x86_64 xz-5.4.4-1.fc39.x86_64 xz-libs-5.4.4-1.fc39.x86_64 zip-3.0-39.fc39.x86_64 zlib-1.2.13-4.fc39.x86_64 zstd-1.5.6-1.fc39.x86_64 Start: buildsrpm Start: rpmbuild -bs warning: source_date_epoch_from_changelog set but %changelog is missing Building target platforms: x86_64 Building for target x86_64 Wrote: /builddir/build/SRPMS/R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.src.rpm RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing Finish: rpmbuild -bs cp: preserving permissions for ‘/var/lib/copr-rpmbuild/results/chroot_scan/var/lib/mock/fedora-39-x86_64-1726623465.646560/root/var/log’: No such file or directory INFO: chroot_scan: 3 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-39-x86_64-1726623465.646560/root/var/log/dnf.rpm.log /var/lib/mock/fedora-39-x86_64-1726623465.646560/root/var/log/dnf.librepo.log /var/lib/mock/fedora-39-x86_64-1726623465.646560/root/var/log/dnf.log Finish: buildsrpm INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-aol7b59a/R-CRAN-fdaPDE/R-CRAN-fdaPDE.spec) Config(child) 0 minutes 14 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot INFO: Start(/var/lib/copr-rpmbuild/results/R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.src.rpm) Config(fedora-39-x86_64) Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-39-x86_64-1726623465.646560/root. INFO: calling preinit hooks INFO: enabled root cache Start: unpacking root cache Finish: unpacking root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Buildroot is handled by package management from host and used with --installroot: rpm-4.19.1.1-1.fc39.x86_64 rpm-sequoia-1.6.0-1.fc39.x86_64 python3-dnf-4.21.1-1.fc39.noarch python3-dnf-plugins-core-4.9.0-1.fc39.noarch yum-4.21.1-1.fc39.noarch dnf5-5.1.17-2.fc39.x86_64 dnf5-plugins-5.1.17-2.fc39.x86_64 Finish: chroot init Start: build phase for R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.src.rpm Start: build setup for R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.src.rpm warning: source_date_epoch_from_changelog set but %changelog is missing Building target platforms: x86_64 Building for target x86_64 Wrote: /builddir/build/SRPMS/R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.src.rpm RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing No matches found for the following disable plugin patterns: local, spacewalk, versionlock Updating Subscription Management repositories. Unable to read consumer identity This system is not registered with an entitlement server. You can use subscription-manager to register. Copr repository 84 kB/s | 1.5 kB 00:00 Copr repository 236 MB/s | 27 MB 00:00 fedora 111 kB/s | 31 kB 00:00 updates 91 kB/s | 27 kB 00:00 Dependencies resolved. ========================================================================================== Package Arch Version Repo Size ========================================================================================== Installing: R-CRAN-Matrix x86_64 1.6.5-1.fc39.copr6886765 copr_base 4.1 M R-CRAN-Rcpp x86_64 1.0.13-1.fc39.copr7745410 copr_base 2.0 M R-CRAN-RcppEigen x86_64 0.3.4.0.2-1.fc39.copr7940693 copr_base 1.4 M R-CRAN-plot3D noarch 1.4.1-1.fc39.copr6995215 copr_base 2.7 M R-CRAN-rgl x86_64 1.3.1-1.fc39.copr7307320 copr_base 4.0 M R-core x86_64 4.3.3-2.fc39 updates 64 M R-devel x86_64 4.3.3-2.fc39 updates 10 k Installing dependencies: R-CRAN-R6 noarch 2.5.1-1.fc39.copr6279323 copr_base 96 k R-CRAN-base64enc x86_64 0.1.3-3.fc39.copr6279336 copr_base 40 k R-CRAN-bslib noarch 0.8.0-1.fc39.copr7803003 copr_base 4.6 M R-CRAN-cachem x86_64 1.1.0-1.fc39.copr7452047 copr_base 82 k R-CRAN-cli x86_64 3.6.3-1.fc39.copr7649835 copr_base 1.3 M R-CRAN-digest x86_64 0.6.37-1.fc39.copr7936834 copr_base 229 k R-CRAN-evaluate noarch 0.24.0-1.fc39.copr7593236 copr_base 98 k R-CRAN-fastmap x86_64 1.2.0-1.fc39.copr7447859 copr_base 79 k R-CRAN-fontawesome noarch 0.5.2-1.fc39.copr6319288 copr_base 1.3 M R-CRAN-fs x86_64 1.6.4-1.fc39.copr7373524 copr_base 325 k R-CRAN-glue x86_64 1.7.0-1.fc39.copr6877494 copr_base 165 k R-CRAN-highr noarch 0.11-1.fc39.copr7494448 copr_base 49 k R-CRAN-htmltools x86_64 0.5.8.1-1.fc39.copr7306783 copr_base 386 k R-CRAN-htmlwidgets noarch 1.6.4-1.fc39.copr6730509 copr_base 426 k R-CRAN-jquerylib noarch 0.1.4-1.fc39.copr6287868 copr_base 301 k R-CRAN-jsonlite x86_64 1.8.8-1.fc39.copr6724909 copr_base 636 k R-CRAN-knitr noarch 1.48-1.fc39.copr7716131 copr_base 1.0 M R-CRAN-lattice x86_64 0.22.6-1.fc39.copr7307082 copr_base 1.4 M R-CRAN-lifecycle noarch 1.0.4-1.fc39.copr6614518 copr_base 130 k R-CRAN-magrittr x86_64 2.0.3-1.fc39.copr6279321 copr_base 222 k R-CRAN-memoise noarch 2.0.1-1.fc39.copr6285223 copr_base 63 k R-CRAN-mime x86_64 0.12-1.fc39.copr6279326 copr_base 46 k R-CRAN-misc3d noarch 0.9.1-1.fc39.copr6279648 copr_base 258 k R-CRAN-rappdirs x86_64 0.3.3-1.fc39.copr6279439 copr_base 60 k R-CRAN-rlang x86_64 1.1.4-1.fc39.copr7531082 copr_base 1.6 M R-CRAN-rmarkdown noarch 2.28-1.fc39.copr7937143 copr_base 2.0 M R-CRAN-sass x86_64 0.4.9-1.fc39.copr7307485 copr_base 2.1 M R-CRAN-tinytex noarch 0.53-1.fc39.copr8022701 copr_base 158 k R-CRAN-xfun x86_64 0.47-1.fc39.copr7936835 copr_base 580 k R-CRAN-yaml x86_64 2.3.10-1.fc39.copr7795167 copr_base 124 k R-core-devel x86_64 4.3.3-2.fc39 updates 93 k R-java x86_64 4.3.3-2.fc39 updates 11 k R-java-devel x86_64 4.3.3-2.fc39 updates 10 k R-littler x86_64 0.3.19-1.fc39 updates 76 k R-rpm-macros noarch 1.2.1-7.fc39 fedora 11 k abattis-cantarell-vf-fonts noarch 0.301-10.fc39 fedora 121 k alsa-lib x86_64 1.2.12-1.fc39 updates 521 k annobin-docs noarch 12.60-1.fc39 updates 88 k annobin-plugin-gcc x86_64 12.60-1.fc39 updates 965 k avahi-libs x86_64 0.8-24.fc39 fedora 67 k brotli x86_64 1.1.0-1.fc39 fedora 20 k brotli-devel x86_64 1.1.0-1.fc39 fedora 34 k bzip2-devel x86_64 1.0.8-16.fc39 fedora 214 k cairo x86_64 1.18.0-1.fc39 fedora 710 k cmake-filesystem x86_64 3.27.7-1.fc39 fedora 19 k copy-jdk-configs noarch 4.1-3.fc39 fedora 28 k cpp x86_64 13.3.1-1.fc39 updates 11 M crypto-policies-scripts noarch 20231204-1.git1e3a2e4.fc39 updates 117 k cups-libs x86_64 1:2.4.10-6.fc39 updates 269 k dbus-libs x86_64 1:1.14.10-1.fc39 fedora 156 k default-fonts-core-sans noarch 4.0-9.fc39 fedora 32 k desktop-file-utils x86_64 0.26-9.fc39 fedora 72 k emacs-filesystem noarch 1:29.4-2.fc39 updates 7.3 k expat x86_64 2.6.2-1.fc39 updates 114 k flexiblas x86_64 3.4.4-1.fc39 updates 25 k flexiblas-devel x86_64 3.4.4-1.fc39 updates 121 k flexiblas-netlib x86_64 3.4.4-1.fc39 updates 3.1 M flexiblas-netlib64 x86_64 3.4.4-1.fc39 updates 3.0 M flexiblas-openblas-openmp x86_64 3.4.4-1.fc39 updates 17 k flexiblas-openblas-openmp64 x86_64 3.4.4-1.fc39 updates 17 k fontconfig x86_64 2.14.2-6.fc39 updates 296 k fontconfig-devel x86_64 2.14.2-6.fc39 updates 164 k fonts-filesystem noarch 1:2.0.5-12.fc39 fedora 8.2 k freetype x86_64 2.13.1-2.fc39 fedora 414 k freetype-devel x86_64 2.13.1-2.fc39 fedora 950 k fribidi x86_64 1.0.13-2.fc39 fedora 91 k gc x86_64 8.2.2-4.fc39 fedora 110 k gcc x86_64 13.3.1-1.fc39 updates 34 M gcc-c++ x86_64 13.3.1-1.fc39 updates 13 M gcc-gfortran x86_64 13.3.1-1.fc39 updates 12 M gcc-plugin-annobin x86_64 13.3.1-1.fc39 updates 56 k gettext x86_64 0.22-2.fc39 fedora 1.1 M gettext-envsubst x86_64 0.22-2.fc39 fedora 36 k gettext-libs x86_64 0.22-2.fc39 fedora 328 k gettext-runtime x86_64 0.22-2.fc39 fedora 120 k glib2 x86_64 2.78.6-1.fc39 updates 2.8 M glib2-devel x86_64 2.78.6-1.fc39 updates 594 k glibc-devel x86_64 2.38-18.fc39 updates 86 k glibc-headers-x86 noarch 2.38-18.fc39 updates 571 k gnutls x86_64 3.8.6-1.fc39 updates 1.1 M google-noto-fonts-common noarch 20240101-1.fc39 updates 17 k google-noto-sans-vf-fonts noarch 20240101-1.fc39 updates 593 k graphite2 x86_64 1.3.14-12.fc39 fedora 95 k graphite2-devel x86_64 1.3.14-12.fc39 fedora 20 k guile22 x86_64 2.2.7-9.fc39 fedora 6.5 M harfbuzz x86_64 8.2.1-2.fc39 fedora 975 k harfbuzz-devel x86_64 8.2.1-2.fc39 fedora 450 k harfbuzz-icu x86_64 8.2.1-2.fc39 fedora 17 k hwdata noarch 0.385-1.fc39 updates 1.6 M java-21-openjdk x86_64 1:21.0.4.0.7-2.fc39 updates 426 k java-21-openjdk-devel x86_64 1:21.0.4.0.7-2.fc39 updates 5.0 M java-21-openjdk-headless x86_64 1:21.0.4.0.7-2.fc39 updates 48 M javapackages-filesystem noarch 6.1.0-10.fc39 fedora 12 k jbigkit-libs x86_64 2.1-26.fc39 fedora 53 k kernel-headers x86_64 6.10.3-200.fc39 updates 1.6 M libICE x86_64 1.0.10-11.fc39 fedora 70 k libRmath x86_64 4.3.3-2.fc39 updates 121 k libRmath-devel x86_64 4.3.3-2.fc39 updates 16 k libSM x86_64 1.2.3-13.fc39 fedora 41 k libX11 x86_64 1.8.9-1.fc39 updates 650 k libX11-common noarch 1.8.9-1.fc39 updates 176 k libX11-devel x86_64 1.8.9-1.fc39 updates 1.0 M libX11-xcb x86_64 1.8.9-1.fc39 updates 12 k libXau x86_64 1.0.11-3.fc39 fedora 31 k libXau-devel x86_64 1.0.11-3.fc39 fedora 14 k libXcomposite x86_64 0.4.5-10.fc39 fedora 23 k libXext x86_64 1.3.5-3.fc39 fedora 39 k libXfixes x86_64 6.0.0-6.fc39 fedora 19 k libXft x86_64 2.3.8-3.fc39 fedora 72 k libXft-devel x86_64 2.3.8-3.fc39 fedora 50 k libXi x86_64 1.8.1-2.fc39 fedora 40 k libXmu x86_64 1.1.4-3.fc39 fedora 76 k libXrender x86_64 0.9.11-3.fc39 fedora 27 k libXrender-devel x86_64 0.9.11-3.fc39 fedora 19 k libXt x86_64 1.2.1-5.fc39 fedora 178 k libXtst x86_64 1.2.4-3.fc39 fedora 20 k libXxf86vm x86_64 1.1.5-3.fc39 fedora 18 k libb2 x86_64 0.98.1-9.fc39 fedora 25 k libblkid-devel x86_64 2.39.4-1.fc39 updates 18 k libdatrie x86_64 0.2.13-7.fc39 fedora 32 k libdrm x86_64 2.4.121-1.fc39 updates 157 k libffi-devel x86_64 3.4.4-4.fc39 fedora 29 k libfontenc x86_64 1.1.6-3.fc39 fedora 32 k libgfortran x86_64 13.3.1-1.fc39 updates 906 k libglvnd x86_64 1:1.7.0-1.fc39 fedora 133 k libglvnd-glx x86_64 1:1.7.0-1.fc39 fedora 142 k libglvnd-opengl x86_64 1:1.7.0-1.fc39 fedora 42 k libicu x86_64 73.2-2.fc39 fedora 11 M libicu-devel x86_64 73.2-2.fc39 fedora 924 k libjpeg-turbo x86_64 2.1.4-3.fc39 fedora 183 k liblerc x86_64 4.0.0-4.fc39 fedora 201 k libmount-devel x86_64 2.39.4-1.fc39 updates 18 k libmpc x86_64 1.3.1-3.fc39 fedora 70 k libpciaccess x86_64 0.16-9.fc39 fedora 26 k libpng x86_64 2:1.6.37-15.fc39 fedora 119 k libpng-devel x86_64 2:1.6.37-15.fc39 fedora 291 k libquadmath x86_64 13.3.1-1.fc39 updates 203 k libquadmath-devel x86_64 13.3.1-1.fc39 updates 45 k libselinux-devel x86_64 3.5-5.fc39 fedora 151 k libsepol-devel x86_64 3.5-2.fc39 fedora 49 k libstdc++-devel x86_64 13.3.1-1.fc39 updates 2.6 M libthai x86_64 0.1.29-6.fc39 fedora 213 k libtiff x86_64 4.4.0-8.fc39 fedora 202 k libtirpc-devel x86_64 1.3.5-0.fc39 updates 125 k libwebp x86_64 1.3.2-2.fc39 fedora 284 k libxcb x86_64 1.13.1-12.fc39 fedora 233 k libxcb-devel x86_64 1.13.1-12.fc39 fedora 1.4 M libxcrypt-devel x86_64 4.4.36-2.fc39 fedora 30 k libxml2-devel x86_64 2.10.4-3.fc39 fedora 527 k libxshmfence x86_64 1.3-13.fc39 fedora 12 k lksctp-tools x86_64 1.0.19-4.fc39 fedora 92 k lua x86_64 5.4.6-3.fc39 fedora 191 k lua-posix x86_64 36.2.1-3.fc39 fedora 143 k make x86_64 1:4.4.1-2.fc39 fedora 589 k mesa-libGL x86_64 23.3.6-1.fc39 updates 176 k mesa-libGLU x86_64 9.0.3-1.fc39 fedora 160 k mesa-libglapi x86_64 23.3.6-1.fc39 updates 53 k mkfontscale x86_64 1.2.2-4.fc39 fedora 32 k mpdecimal x86_64 2.5.1-7.fc39 fedora 89 k nettle x86_64 3.9.1-2.fc39 fedora 425 k nspr x86_64 4.35.0-22.fc39 updates 136 k nss x86_64 3.103.0-1.fc39 updates 708 k nss-softokn x86_64 3.103.0-1.fc39 updates 419 k nss-softokn-freebl x86_64 3.103.0-1.fc39 updates 300 k nss-sysinit x86_64 3.103.0-1.fc39 updates 18 k nss-util x86_64 3.103.0-1.fc39 updates 88 k openblas x86_64 0.3.21-6.fc39 fedora 35 k openblas-openmp x86_64 0.3.21-6.fc39 fedora 4.9 M openblas-openmp64 x86_64 0.3.21-6.fc39 fedora 4.8 M pango x86_64 1.51.0-1.fc39 fedora 343 k pcre2-devel x86_64 10.42-1.fc39.2 fedora 505 k pcre2-utf16 x86_64 10.42-1.fc39.2 fedora 212 k pcre2-utf32 x86_64 10.42-1.fc39.2 fedora 200 k pixman x86_64 0.42.2-2.fc39 fedora 288 k python-pip-wheel noarch 23.2.1-2.fc39 updates 1.5 M python3 x86_64 3.12.5-1.fc39 updates 28 k python3-libs x86_64 3.12.5-1.fc39 updates 9.2 M python3-setuptools noarch 67.7.2-8.fc39 updates 1.5 M sysprof-capture-devel x86_64 45.1-1.fc39 updates 59 k tcl x86_64 1:8.6.12-5.fc39 fedora 1.1 M tcl-devel x86_64 1:8.6.12-5.fc39 fedora 169 k tk x86_64 1:8.6.12-5.fc39 fedora 1.6 M tk-devel x86_64 1:8.6.12-5.fc39 fedora 537 k tre x86_64 0.8.0-41.20140228gitc2f5d13.fc39 fedora 43 k tre-common noarch 0.8.0-41.20140228gitc2f5d13.fc39 fedora 31 k tre-devel x86_64 0.8.0-41.20140228gitc2f5d13.fc39 fedora 12 k ttmkfdir x86_64 3.0.9-69.fc39 fedora 56 k tzdata noarch 2024a-2.fc39 updates 715 k tzdata-java noarch 2024a-2.fc39 updates 208 k xdg-utils noarch 1.1.3-15.fc39 fedora 77 k xml-common noarch 0.6.3-61.fc39 fedora 31 k xorg-x11-fonts-Type1 noarch 7.5-36.fc39 fedora 504 k xorg-x11-proto-devel noarch 2023.2-2.fc39 fedora 298 k xz-devel x86_64 5.4.4-1.fc39 fedora 66 k zlib-devel x86_64 1.2.13-4.fc39 fedora 45 k Transaction Summary ========================================================================================== Install 202 Packages Total size: 307 M Total download size: 36 M Installed size: 962 M Downloading Packages: [SKIPPED] R-CRAN-digest-0.6.37-1.fc39.copr7936834.x86_64.rpm: Already downloaded [SKIPPED] R-rpm-macros-1.2.1-7.fc39.noarch.rpm: Already downloaded [SKIPPED] abattis-cantarell-vf-fonts-0.301-10.fc39.noarch.rpm: Already downloaded [SKIPPED] avahi-libs-0.8-24.fc39.x86_64.rpm: Already downloaded [SKIPPED] brotli-1.1.0-1.fc39.x86_64.rpm: Already downloaded [SKIPPED] brotli-devel-1.1.0-1.fc39.x86_64.rpm: Already downloaded [SKIPPED] 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Installed: R-CRAN-Matrix-1.6.5-1.fc39.copr6886765.x86_64 R-CRAN-R6-2.5.1-1.fc39.copr6279323.noarch R-CRAN-Rcpp-1.0.13-1.fc39.copr7745410.x86_64 R-CRAN-RcppEigen-0.3.4.0.2-1.fc39.copr7940693.x86_64 R-CRAN-base64enc-0.1.3-3.fc39.copr6279336.x86_64 R-CRAN-bslib-0.8.0-1.fc39.copr7803003.noarch R-CRAN-cachem-1.1.0-1.fc39.copr7452047.x86_64 R-CRAN-cli-3.6.3-1.fc39.copr7649835.x86_64 R-CRAN-digest-0.6.37-1.fc39.copr7936834.x86_64 R-CRAN-evaluate-0.24.0-1.fc39.copr7593236.noarch R-CRAN-fastmap-1.2.0-1.fc39.copr7447859.x86_64 R-CRAN-fontawesome-0.5.2-1.fc39.copr6319288.noarch R-CRAN-fs-1.6.4-1.fc39.copr7373524.x86_64 R-CRAN-glue-1.7.0-1.fc39.copr6877494.x86_64 R-CRAN-highr-0.11-1.fc39.copr7494448.noarch R-CRAN-htmltools-0.5.8.1-1.fc39.copr7306783.x86_64 R-CRAN-htmlwidgets-1.6.4-1.fc39.copr6730509.noarch R-CRAN-jquerylib-0.1.4-1.fc39.copr6287868.noarch R-CRAN-jsonlite-1.8.8-1.fc39.copr6724909.x86_64 R-CRAN-knitr-1.48-1.fc39.copr7716131.noarch R-CRAN-lattice-0.22.6-1.fc39.copr7307082.x86_64 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annobin-plugin-gcc-12.60-1.fc39.x86_64 avahi-libs-0.8-24.fc39.x86_64 brotli-1.1.0-1.fc39.x86_64 brotli-devel-1.1.0-1.fc39.x86_64 bzip2-devel-1.0.8-16.fc39.x86_64 cairo-1.18.0-1.fc39.x86_64 cmake-filesystem-3.27.7-1.fc39.x86_64 copy-jdk-configs-4.1-3.fc39.noarch cpp-13.3.1-1.fc39.x86_64 crypto-policies-scripts-20231204-1.git1e3a2e4.fc39.noarch cups-libs-1:2.4.10-6.fc39.x86_64 dbus-libs-1:1.14.10-1.fc39.x86_64 default-fonts-core-sans-4.0-9.fc39.noarch desktop-file-utils-0.26-9.fc39.x86_64 emacs-filesystem-1:29.4-2.fc39.noarch expat-2.6.2-1.fc39.x86_64 flexiblas-3.4.4-1.fc39.x86_64 flexiblas-devel-3.4.4-1.fc39.x86_64 flexiblas-netlib-3.4.4-1.fc39.x86_64 flexiblas-netlib64-3.4.4-1.fc39.x86_64 flexiblas-openblas-openmp-3.4.4-1.fc39.x86_64 flexiblas-openblas-openmp64-3.4.4-1.fc39.x86_64 fontconfig-2.14.2-6.fc39.x86_64 fontconfig-devel-2.14.2-6.fc39.x86_64 fonts-filesystem-1:2.0.5-12.fc39.noarch freetype-2.13.1-2.fc39.x86_64 freetype-devel-2.13.1-2.fc39.x86_64 fribidi-1.0.13-2.fc39.x86_64 gc-8.2.2-4.fc39.x86_64 gcc-13.3.1-1.fc39.x86_64 gcc-c++-13.3.1-1.fc39.x86_64 gcc-gfortran-13.3.1-1.fc39.x86_64 gcc-plugin-annobin-13.3.1-1.fc39.x86_64 gettext-0.22-2.fc39.x86_64 gettext-envsubst-0.22-2.fc39.x86_64 gettext-libs-0.22-2.fc39.x86_64 gettext-runtime-0.22-2.fc39.x86_64 glib2-2.78.6-1.fc39.x86_64 glib2-devel-2.78.6-1.fc39.x86_64 glibc-devel-2.38-18.fc39.x86_64 glibc-headers-x86-2.38-18.fc39.noarch gnutls-3.8.6-1.fc39.x86_64 google-noto-fonts-common-20240101-1.fc39.noarch google-noto-sans-vf-fonts-20240101-1.fc39.noarch graphite2-1.3.14-12.fc39.x86_64 graphite2-devel-1.3.14-12.fc39.x86_64 guile22-2.2.7-9.fc39.x86_64 harfbuzz-8.2.1-2.fc39.x86_64 harfbuzz-devel-8.2.1-2.fc39.x86_64 harfbuzz-icu-8.2.1-2.fc39.x86_64 hwdata-0.385-1.fc39.noarch java-21-openjdk-1:21.0.4.0.7-2.fc39.x86_64 java-21-openjdk-devel-1:21.0.4.0.7-2.fc39.x86_64 java-21-openjdk-headless-1:21.0.4.0.7-2.fc39.x86_64 javapackages-filesystem-6.1.0-10.fc39.noarch jbigkit-libs-2.1-26.fc39.x86_64 kernel-headers-6.10.3-200.fc39.x86_64 libICE-1.0.10-11.fc39.x86_64 libRmath-4.3.3-2.fc39.x86_64 libRmath-devel-4.3.3-2.fc39.x86_64 libSM-1.2.3-13.fc39.x86_64 libX11-1.8.9-1.fc39.x86_64 libX11-common-1.8.9-1.fc39.noarch libX11-devel-1.8.9-1.fc39.x86_64 libX11-xcb-1.8.9-1.fc39.x86_64 libXau-1.0.11-3.fc39.x86_64 libXau-devel-1.0.11-3.fc39.x86_64 libXcomposite-0.4.5-10.fc39.x86_64 libXext-1.3.5-3.fc39.x86_64 libXfixes-6.0.0-6.fc39.x86_64 libXft-2.3.8-3.fc39.x86_64 libXft-devel-2.3.8-3.fc39.x86_64 libXi-1.8.1-2.fc39.x86_64 libXmu-1.1.4-3.fc39.x86_64 libXrender-0.9.11-3.fc39.x86_64 libXrender-devel-0.9.11-3.fc39.x86_64 libXt-1.2.1-5.fc39.x86_64 libXtst-1.2.4-3.fc39.x86_64 libXxf86vm-1.1.5-3.fc39.x86_64 libb2-0.98.1-9.fc39.x86_64 libblkid-devel-2.39.4-1.fc39.x86_64 libdatrie-0.2.13-7.fc39.x86_64 libdrm-2.4.121-1.fc39.x86_64 libffi-devel-3.4.4-4.fc39.x86_64 libfontenc-1.1.6-3.fc39.x86_64 libgfortran-13.3.1-1.fc39.x86_64 libglvnd-1:1.7.0-1.fc39.x86_64 libglvnd-glx-1:1.7.0-1.fc39.x86_64 libglvnd-opengl-1:1.7.0-1.fc39.x86_64 libicu-73.2-2.fc39.x86_64 libicu-devel-73.2-2.fc39.x86_64 libjpeg-turbo-2.1.4-3.fc39.x86_64 liblerc-4.0.0-4.fc39.x86_64 libmount-devel-2.39.4-1.fc39.x86_64 libmpc-1.3.1-3.fc39.x86_64 libpciaccess-0.16-9.fc39.x86_64 libpng-2:1.6.37-15.fc39.x86_64 libpng-devel-2:1.6.37-15.fc39.x86_64 libquadmath-13.3.1-1.fc39.x86_64 libquadmath-devel-13.3.1-1.fc39.x86_64 libselinux-devel-3.5-5.fc39.x86_64 libsepol-devel-3.5-2.fc39.x86_64 libstdc++-devel-13.3.1-1.fc39.x86_64 libthai-0.1.29-6.fc39.x86_64 libtiff-4.4.0-8.fc39.x86_64 libtirpc-devel-1.3.5-0.fc39.x86_64 libwebp-1.3.2-2.fc39.x86_64 libxcb-1.13.1-12.fc39.x86_64 libxcb-devel-1.13.1-12.fc39.x86_64 libxcrypt-devel-4.4.36-2.fc39.x86_64 libxml2-devel-2.10.4-3.fc39.x86_64 libxshmfence-1.3-13.fc39.x86_64 lksctp-tools-1.0.19-4.fc39.x86_64 lua-5.4.6-3.fc39.x86_64 lua-posix-36.2.1-3.fc39.x86_64 make-1:4.4.1-2.fc39.x86_64 mesa-libGL-23.3.6-1.fc39.x86_64 mesa-libGLU-9.0.3-1.fc39.x86_64 mesa-libglapi-23.3.6-1.fc39.x86_64 mkfontscale-1.2.2-4.fc39.x86_64 mpdecimal-2.5.1-7.fc39.x86_64 nettle-3.9.1-2.fc39.x86_64 nspr-4.35.0-22.fc39.x86_64 nss-3.103.0-1.fc39.x86_64 nss-softokn-3.103.0-1.fc39.x86_64 nss-softokn-freebl-3.103.0-1.fc39.x86_64 nss-sysinit-3.103.0-1.fc39.x86_64 nss-util-3.103.0-1.fc39.x86_64 openblas-0.3.21-6.fc39.x86_64 openblas-openmp-0.3.21-6.fc39.x86_64 openblas-openmp64-0.3.21-6.fc39.x86_64 pango-1.51.0-1.fc39.x86_64 pcre2-devel-10.42-1.fc39.2.x86_64 pcre2-utf16-10.42-1.fc39.2.x86_64 pcre2-utf32-10.42-1.fc39.2.x86_64 pixman-0.42.2-2.fc39.x86_64 python-pip-wheel-23.2.1-2.fc39.noarch python3-3.12.5-1.fc39.x86_64 python3-libs-3.12.5-1.fc39.x86_64 python3-setuptools-67.7.2-8.fc39.noarch sysprof-capture-devel-45.1-1.fc39.x86_64 tcl-1:8.6.12-5.fc39.x86_64 tcl-devel-1:8.6.12-5.fc39.x86_64 tk-1:8.6.12-5.fc39.x86_64 tk-devel-1:8.6.12-5.fc39.x86_64 tre-0.8.0-41.20140228gitc2f5d13.fc39.x86_64 tre-common-0.8.0-41.20140228gitc2f5d13.fc39.noarch tre-devel-0.8.0-41.20140228gitc2f5d13.fc39.x86_64 ttmkfdir-3.0.9-69.fc39.x86_64 tzdata-2024a-2.fc39.noarch tzdata-java-2024a-2.fc39.noarch xdg-utils-1.1.3-15.fc39.noarch xml-common-0.6.3-61.fc39.noarch xorg-x11-fonts-Type1-7.5-36.fc39.noarch xorg-x11-proto-devel-2023.2-2.fc39.noarch xz-devel-5.4.4-1.fc39.x86_64 zlib-devel-1.2.13-4.fc39.x86_64 Complete! Finish: build setup for R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.src.rpm Start: rpmbuild R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.src.rpm warning: source_date_epoch_from_changelog set but %changelog is missing Building target platforms: x86_64 Building for target x86_64 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.DUWHTp + umask 022 + cd /builddir/build/BUILD + cd /builddir/build/BUILD + rm -rf fdaPDE + /usr/bin/mkdir -p fdaPDE + cd fdaPDE + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/fdaPDE_1.1-20.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + rm -rf /builddir/build/BUILD/fdaPDE-SPECPARTS + /usr/bin/mkdir -p /builddir/build/BUILD/fdaPDE-SPECPARTS + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + find -type f -executable -exec grep -Iq . '{}' ';' -exec sed -i -e '$a\' '{}' ';' + '[' -d fdaPDE/src ']' + find fdaPDE/src -type f -exec sed -i s@/usr/bin/strip@/usr/bin/true@g '{}' ';' + '[' -d fdaPDE/src ']' + find fdaPDE/src/Makevars -type f -exec sed -i s@-g0@@g '{}' ';' + find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' '{}' ';' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.7C3xat + umask 022 + cd /builddir/build/BUILD + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd fdaPDE + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.pyU6hO + umask 022 + cd /builddir/build/BUILD + '[' /builddir/build/BUILDROOT/R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.x86_64 '!=' / ']' + rm -rf /builddir/build/BUILDROOT/R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.x86_64 ++ dirname /builddir/build/BUILDROOT/R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.x86_64 + mkdir -p /builddir/build/BUILDROOT + mkdir /builddir/build/BUILDROOT/R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.x86_64 + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd fdaPDE + mkdir -p /builddir/build/BUILDROOT/R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.x86_64/usr/local/lib/R/library + /usr/bin/R CMD INSTALL -l /builddir/build/BUILDROOT/R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.x86_64/usr/local/lib/R/library fdaPDE * installing *source* package ‘fdaPDE’ ... ** package ‘fdaPDE’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc (GCC) 13.3.1 20240522 (Red Hat 13.3.1-1)’ using C++ compiler: ‘g++ (GCC) 13.3.1 20240522 (Red Hat 13.3.1-1)’ using C++17 g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c Density_Estimation/Source/Rfun_Density_Estimation.cpp -o Density_Estimation/Source/Rfun_Density_Estimation.o In file included from Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:362, from Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:6, from Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:4, from Density_Estimation/Source/Rfun_Density_Estimation.cpp:2: Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment] 223 | // | \ | ^ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment] 226 | // | \ | ^ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment] 231 | // | \ | ^ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment] 233 | // | \ | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from Density_Estimation/Source/../../FdaPDE.h:32, from Density_Estimation/Source/Rfun_Density_Estimation.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from Density_Estimation/Source/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ Density_Estimation/Source/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:248:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:351:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<6, 2, 2>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:117:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:119:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:73: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 1, true>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:183:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 2>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 2, false>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 3, false>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 3, false>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:152:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:81:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/DE_Data.h:204, from Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:12, from Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:12: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/DE_Data_imp.h: In member function ‘void DEData_time::setTimes2Locations()’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/DE_Data_imp.h:151:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 151 | for(UInt t = 0; t < times_.size(); ++t) | ~~^~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/DE_Data_imp.h:153:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for(UInt d = 0; d < data_time_.size(); ++d) { | ~~^~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/DE_Data_imp.h: In member function ‘void DEData_time::printData(std::ostream&) const’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/DE_Data_imp.h:162:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 162 | for(int i = 0; i < data_time_.size(); ++i) | ~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:31:14: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:46:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7: required from ‘class Eigen::MappedSparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:477:54: required from ‘class Eigen::SparseLU >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:61:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:104:7: required from ‘class Eigen::SolveImpl >, Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::SparseMatrix >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:61:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:244:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:344:70: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:377:16: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:52:55: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose, Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose, Eigen::Matrix > > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:52:57: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:56:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:56:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:56:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:69:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:165:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::Matrix, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:165:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:166:29: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:166:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:170:59: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:170:59: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:221:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:263:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:263:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:263:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:266:69: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:15:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:71:29: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:71:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:133:74: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:133:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:133:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:133:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:134:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:134:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:134:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:142:20: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:142:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::Matrix, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/K_Fold_CV_L2_Error_imp.h:8:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/K_Fold_CV_L2_Error_imp.h:8:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:67:37: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:329:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56: required from ‘class DataProblem<1, 2, 2>’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56: required from ‘class DataProblem<1, 2, 2>’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h: In instantiation of ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:68:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for(UInt j = 0; j < f_init.size(); j++) | ~~^~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:80:35: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 80 | for(UInt i = 0; i < data.size(); i++) | ~~^~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:85:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 85 | for(UInt i = 0; i < CV_errors.size(); i++) | ~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56: required from ‘class DataProblem<2, 2, 2>’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56: required from ‘class DataProblem<2, 2, 2>’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h: In instantiation of ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:68:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for(UInt j = 0; j < f_init.size(); j++) | ~~^~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:80:35: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 80 | for(UInt i = 0; i < data.size(); i++) | ~~^~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:85:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 85 | for(UInt i = 0; i < CV_errors.size(); i++) | ~~^~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h: In instantiation of ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:68:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for(UInt j = 0; j < f_init.size(); j++) | ~~^~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:80:35: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 80 | for(UInt i = 0; i < data.size(); i++) | ~~^~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:85:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 85 | for(UInt i = 0; i < CV_errors.size(); i++) | ~~^~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h: In instantiation of ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:68:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for(UInt j = 0; j < f_init.size(); j++) | ~~^~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:80:35: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 80 | for(UInt i = 0; i < data.size(); i++) | ~~^~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:85:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 85 | for(UInt i = 0; i < CV_errors.size(); i++) | ~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56: required from ‘class DataProblem<1, 3, 3>’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56: required from ‘class DataProblem<1, 3, 3>’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h: In instantiation of ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:68:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for(UInt j = 0; j < f_init.size(); j++) | ~~^~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:80:35: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 80 | for(UInt i = 0; i < data.size(); i++) | ~~^~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:85:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 85 | for(UInt i = 0; i < CV_errors.size(); i++) | ~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56: required from ‘class DataProblem<2, 3, 3>’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56: required from ‘class DataProblem<2, 3, 3>’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h: In instantiation of ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:68:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for(UInt j = 0; j < f_init.size(); j++) | ~~^~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:80:35: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 80 | for(UInt i = 0; i < data.size(); i++) | ~~^~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:85:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 85 | for(UInt i = 0; i < CV_errors.size(); i++) | ~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56: required from ‘class DataProblem<1, 1, 2>’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h: In instantiation of ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:68:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for(UInt j = 0; j < f_init.size(); j++) | ~~^~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:80:35: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 80 | for(UInt i = 0; i < data.size(); i++) | ~~^~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:85:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 85 | for(UInt i = 0; i < CV_errors.size(); i++) | ~~^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56: required from ‘class DataProblem<2, 1, 2>’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:32:56: required from ‘class DataProblem<2, 1, 2>’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h: In instantiation of ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:68:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for(UInt j = 0; j < f_init.size(); j++) | ~~^~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:80:35: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 80 | for(UInt i = 0; i < data.size(); i++) | ~~^~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:85:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 85 | for(UInt i = 0; i < CV_errors.size(); i++) | ~~^~~~~~~~~~~~~~~~~~ In file included from Density_Estimation/Source/Rfun_Density_Estimation.cpp:4: Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h: In instantiation of ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:45:35: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 45 | for(UInt j = 0; j < fInit.size(); j++) | ~~^~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h: In instantiation of ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:102:43: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:45:35: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h: In instantiation of ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:104:43: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:45:35: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h: In instantiation of ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:106:43: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:45:35: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h: In instantiation of ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:108:43: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:45:35: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h: In instantiation of ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:110:49: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:45:35: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h: In instantiation of ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:112:49: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:45:35: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h: In instantiation of ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:114:49: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:45:35: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from Density_Estimation/Source/Rfun_Density_Estimation.cpp:3: Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h: In instantiation of ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:84:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 84 | for(UInt j = 0; j < f_init.size(); ++j) | ~~^~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:99:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 99 | for(UInt i = 0; i < data.size(); i++) | ~~^~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:104:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | for(UInt i = 0; i < data_time.size(); ++i) | ~~^~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:110:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 110 | for(UInt i = 0; i < CV_errors.size(); i++) | ~~^~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h: In instantiation of ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:170:49: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:84:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 84 | for(UInt j = 0; j < f_init.size(); ++j) | ~~^~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:99:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 99 | for(UInt i = 0; i < data.size(); i++) | ~~^~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:104:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | for(UInt i = 0; i < data_time.size(); ++i) | ~~^~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:110:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 110 | for(UInt i = 0; i < CV_errors.size(); i++) | ~~^~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h: In instantiation of ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:172:49: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:84:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 84 | for(UInt j = 0; j < f_init.size(); ++j) | ~~^~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:99:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 99 | for(UInt i = 0; i < data.size(); i++) | ~~^~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:104:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | for(UInt i = 0; i < data_time.size(); ++i) | ~~^~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:110:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 110 | for(UInt i = 0; i < CV_errors.size(); i++) | ~~^~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h: In instantiation of ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:174:49: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:84:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 84 | for(UInt j = 0; j < f_init.size(); ++j) | ~~^~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:99:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 99 | for(UInt i = 0; i < data.size(); i++) | ~~^~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:104:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | for(UInt i = 0; i < data_time.size(); ++i) | ~~^~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:110:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 110 | for(UInt i = 0; i < CV_errors.size(); i++) | ~~^~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h: In instantiation of ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:176:49: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:84:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 84 | for(UInt j = 0; j < f_init.size(); ++j) | ~~^~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:99:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 99 | for(UInt i = 0; i < data.size(); i++) | ~~^~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:104:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | for(UInt i = 0; i < data_time.size(); ++i) | ~~^~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:110:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 110 | for(UInt i = 0; i < CV_errors.size(); i++) | ~~^~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h: In instantiation of ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:178:49: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:84:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector*>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 84 | for(UInt j = 0; j < f_init.size(); ++j) | ~~^~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:99:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 99 | for(UInt i = 0; i < data.size(); i++) | ~~^~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:104:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 104 | for(UInt i = 0; i < data_time.size(); ++i) | ~~^~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:110:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 110 | for(UInt i = 0; i < CV_errors.size(); i++) | ~~^~~~~~~~~~~~~~~~~~ In file included from Density_Estimation/Source/Rfun_Density_Estimation.cpp:5: Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h: In instantiation of ‘SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:202:54: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:62:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 62 | for(UInt j = 0; j < fInit.size(); ++j) | ~~^~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h: In instantiation of ‘SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:204:54: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:62:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h: In instantiation of ‘SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:206:54: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:62:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h: In instantiation of ‘SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:208:54: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:62:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h: In instantiation of ‘SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:210:54: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:62:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h: In instantiation of ‘SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’: Density_Estimation/Source/Rfun_Density_Estimation.cpp:212:54: required from here Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:62:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:280:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:397:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 2, 2>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 2>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Solve >, Eigen::SparseMatrix >, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Solve >, Eigen::SparseMatrix >, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:61:22: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 3, false>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:17: required from ‘void DataProblem::fillPsiQuad() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 3, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 3, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 3, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 3, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 3, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 3, 1, false>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 3, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 3, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 3, 1, false>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:114:45: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:114:27: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:32: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:116:38: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 2, 2>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 2, 2>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 6, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 6, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 6, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 6, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 6, false>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:17: required from ‘void DataProblem::fillPsiQuad() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 6, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 6, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 6, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 6, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 6, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 6, 1, false>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 6, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 6, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 6, 1, false>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection.h:47, from Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:13: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h: In instantiation of ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:32:20: warning: unused variable ‘NNODES’ [-Wunused-variable] 32 | constexpr UInt NNODES = how_many_nodes(ORDER,mydim); | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<1, 2, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<1, 2, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h: In instantiation of ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 2; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38: required from here Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:32:20: warning: unused variable ‘NNODES’ [-Wunused-variable] 32 | constexpr UInt NNODES = how_many_nodes(ORDER,mydim); | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<2, 2, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<2, 2, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<1, 3, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<1, 3, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 3, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 3, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 4, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 4, false>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:17: required from ‘void DataProblem::fillPsiQuad() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 4, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 4, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 4, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 4, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 4, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 4, 1, false>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 4, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 4, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 4, 1, false>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 3, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 3, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 10, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 10, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 10, false>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:17: required from ‘void DataProblem::fillPsiQuad() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:17:8: required from ‘struct Eigen::internal::traits, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 10, 1, false>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 10, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 10, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 10, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 10, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 10, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 10, 1, false>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 10, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 10, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 10, 1, false>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h: In instantiation of ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:32:20: warning: unused variable ‘NNODES’ [-Wunused-variable] 32 | constexpr UInt NNODES = how_many_nodes(ORDER,mydim); | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 1, 2>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 1, 2>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<1, 1, 2>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 1, 2>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 2, false>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:17: required from ‘void DataProblem::fillPsiQuad() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 2, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 2, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 2, 1, false>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 2, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 2, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 2, 1, false>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h: In instantiation of ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 2; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:32:20: warning: unused variable ‘NNODES’ [-Wunused-variable] 32 | constexpr UInt NNODES = how_many_nodes(ORDER,mydim); | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 1, 2>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 1, 2>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<2, 1, 2>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 1, 2>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:51:37: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 3, false>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:17: required from ‘void DataProblem::fillPsiQuad() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:277:47: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:277:27: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:277:81: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:80:35: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:85: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::Matrix, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:98: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:104: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:92:81: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:92:80: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:55: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:58: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:82: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:85: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::Matrix, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:98: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:104: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:55: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:58: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:82: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:36:27: required from ‘Real Point::dist2(const Point&) const [with int ndim = 3; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:43:32: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:248:25: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:248:25: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:248:55: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:249:46: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:262:48: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:85: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::Matrix, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:98: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:104: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:92:81: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:92:80: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:55: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:58: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:82: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:920:52: required from ‘static const Eigen::MatrixBase::BasisReturnType Eigen::MatrixBase::Unit(Eigen::Index) [with Derived = Eigen::Matrix; BasisReturnType = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Eigen::Index = long int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:107: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:85: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::Matrix, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:98: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:104: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:55: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:58: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:82: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:36:27: required from ‘Real Point::dist2(const Point&) const [with int ndim = 2; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:43:32: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:387:25: required from ‘Point<2> Element::computeProjection(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:387:25: required from ‘Point<2> Element::computeProjection(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:388:13: required from ‘Point<2> Element::computeProjection(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:85: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::Matrix, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:98: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:104: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:92:81: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:92:80: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:55: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:58: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:82: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:85: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::Matrix, 0> >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:98: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:104: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:55: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:58: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:82: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:111: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:105:38: required from ‘void HeatProcess::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5: required from ‘HeatProcess::HeatProcess(const DataProblem&, const FunctionalProblem&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:105:38: required from ‘void HeatProcess::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5: required from ‘HeatProcess::HeatProcess(const DataProblem&, const FunctionalProblem&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:754:14: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:260:27: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:244:26: required from ‘SpMat DataProblem_time::makeLumped(const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:271:19: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:344:47: required from ‘SpMat DataProblem_time::computeUpsilon(const SpMat&, const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:201:30: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:344:47: required from ‘SpMat DataProblem_time::computeUpsilon(const SpMat&, const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:201:30: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:215:66: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:78: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:221:42: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:221:70: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:222:115: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:730:33: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:31: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 6, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:36:58: required from ‘Real Point::dist2(const Point&) const [with int ndim = 3; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:43:32: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:190:31: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:213:35: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:190:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:213:35: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, 2, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, 2, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, 2, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, 2, 1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, 2, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, 2, 1, false>, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:10: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:37: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:67: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:86:34: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:41:10: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element >::type = Element<4, 3, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:86:20: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:41:10: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element >::type = Element<4, 3, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 4, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:31: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 10, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:36:58: required from ‘Real Point::dist2(const Point&) const [with int ndim = 2; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:43:32: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:350:34: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:372:40: required from ‘Point<2> Element::computeProjection(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:350:25: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:372:40: required from ‘Point<2> Element::computeProjection(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, 1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, 1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, 1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, 1, 1, false>, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, 1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, 1, 1, false>, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:17: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:44: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:74: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:69:23: required from ‘VectorXr HeatProcess::computeDensityOnlyData() [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:78:15: required from ‘void HeatProcess::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5: required from ‘HeatProcess::HeatProcess(const DataProblem&, const FunctionalProblem&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:67:60: required from ‘std::pair FunctionalProblem::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72: required from ‘void HeatProcess::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5: required from ‘HeatProcess::HeatProcess(const DataProblem&, const FunctionalProblem&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:69:31: required from ‘std::pair FunctionalProblem::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72: required from ‘void HeatProcess::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5: required from ‘HeatProcess::HeatProcess(const DataProblem&, const FunctionalProblem&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler.h:8, from Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:8: Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h: In instantiation of ‘Real Spline::BasisFunction_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]’: Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:40:58: required from ‘Real Spline::BasisFunction(UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:298:37: required from ‘void DataProblem_time::setDataHeat() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:189:9: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:85: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 53 | return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:39: warning: suggest parentheses around ‘&&’ within ‘||’ [-Wparentheses] 53 | return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2; In file included from Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:227: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h: In instantiation of ‘SpMat DataProblem_time::computeUpsilon(const std::vector&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64: required from ‘void Heat_CV_time::perform_init_cv() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5: required from ‘Heat_CV_time::Heat_CV_time(const DataProblem_time&, const FunctionalProblem_time&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<1, 2, 2>; Args = {DataProblem_time<1, 2, 2>&, FunctionalProblem_time<1, 2, 2>&, int&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126: required from ‘SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:202:54: required from here Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:376:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 376 | for(UInt i = 0; i < indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, 1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, 1, -1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, true>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:377:20: required from ‘SpMat DataProblem_time::computeUpsilon(const std::vector&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64: required from ‘void Heat_CV_time::perform_init_cv() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5: required from ‘Heat_CV_time::Heat_CV_time(const DataProblem_time&, const FunctionalProblem_time&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<1, 2, 2>; Args = {DataProblem_time<1, 2, 2>&, FunctionalProblem_time<1, 2, 2>&, int&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126: required from ‘SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:202:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h: In instantiation of ‘SpMat DataProblem_time::computeUpsilon(const std::vector&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64: required from ‘void Heat_CV_time::perform_init_cv() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5: required from ‘Heat_CV_time::Heat_CV_time(const DataProblem_time&, const FunctionalProblem_time&, UInt) [with int ORDER = 2; int mydim = 2; int ndim = 2; UInt = int]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<2, 2, 2>; Args = {DataProblem_time<2, 2, 2>&, FunctionalProblem_time<2, 2, 2>&, int&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126: required from ‘SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:204:54: required from here Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:376:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 376 | for(UInt i = 0; i < indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h: In instantiation of ‘SpMat DataProblem_time::computeUpsilon(const std::vector&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; SpMat = Eigen::SparseMatrix]’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64: required from ‘void Heat_CV_time::perform_init_cv() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5: required from ‘Heat_CV_time::Heat_CV_time(const DataProblem_time&, const FunctionalProblem_time&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 3; UInt = int]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<1, 2, 3>; Args = {DataProblem_time<1, 2, 3>&, FunctionalProblem_time<1, 2, 3>&, int&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126: required from ‘SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:206:54: required from here Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:376:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h: In instantiation of ‘SpMat DataProblem_time::computeUpsilon(const std::vector&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; SpMat = Eigen::SparseMatrix]’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64: required from ‘void Heat_CV_time::perform_init_cv() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5: required from ‘Heat_CV_time::Heat_CV_time(const DataProblem_time&, const FunctionalProblem_time&, UInt) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<2, 2, 3>; Args = {DataProblem_time<2, 2, 3>&, FunctionalProblem_time<2, 2, 3>&, int&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126: required from ‘SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:208:54: required from here Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:376:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h: In instantiation of ‘SpMat DataProblem_time::computeUpsilon(const std::vector&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix]’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64: required from ‘void Heat_CV_time::perform_init_cv() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5: required from ‘Heat_CV_time::Heat_CV_time(const DataProblem_time&, const FunctionalProblem_time&, UInt) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<1, 3, 3>; Args = {DataProblem_time<1, 3, 3>&, FunctionalProblem_time<1, 3, 3>&, int&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126: required from ‘SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:210:54: required from here Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:376:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h: In instantiation of ‘SpMat DataProblem_time::computeUpsilon(const std::vector&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix]’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64: required from ‘void Heat_CV_time::perform_init_cv() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5: required from ‘Heat_CV_time::Heat_CV_time(const DataProblem_time&, const FunctionalProblem_time&, UInt) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<2, 3, 3>; Args = {DataProblem_time<2, 3, 3>&, FunctionalProblem_time<2, 3, 3>&, int&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126: required from ‘SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:212:54: required from here Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:376:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:86:20: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:41:10: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 2; int ndim = 2; typename std::enable_if<(! isManifold), Element >::type = Element<3, 2, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 2; int ndim = 2; typename std::enable_if<(! isManifold), Element >::type = Element<3, 2, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:24: required from ‘void Element::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 2; int ndim = 2; typename std::enable_if<(! isManifold), Element >::type = Element<3, 2, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:55: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:53: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:132:21: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:48: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 6, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 6, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 6, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:86:20: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:41:10: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element >::type = Element<4, 3, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element >::type = Element<4, 3, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:24: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element >::type = Element<4, 3, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 4, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 4, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 4, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 4, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 4, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 10, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 10, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 10, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 10, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 10, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:48: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:48: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:29: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 1, 2, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 1, 2, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 1, 2, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 1, 2, false>, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 1, 2, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 1, 3, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 1, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 1, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 1, 3, false>, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 1, 3, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:377:24: required from ‘SpMat DataProblem_time::computeUpsilon(const std::vector&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64: required from ‘void Heat_CV_time::perform_init_cv() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5: required from ‘Heat_CV_time::Heat_CV_time(const DataProblem_time&, const FunctionalProblem_time&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<1, 2, 2>; Args = {DataProblem_time<1, 2, 2>&, FunctionalProblem_time<1, 2, 2>&, int&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126: required from ‘SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:202:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 1, -1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:377:24: required from ‘SpMat DataProblem_time::computeUpsilon(const std::vector&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64: required from ‘void Heat_CV_time::perform_init_cv() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5: required from ‘Heat_CV_time::Heat_CV_time(const DataProblem_time&, const FunctionalProblem_time&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<1, 2, 2>; Args = {DataProblem_time<1, 2, 2>&, FunctionalProblem_time<1, 2, 2>&, int&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126: required from ‘SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:202:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:166: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:148:65: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:78: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, 3, false>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20: required from ‘void DataProblem::fillPsiQuad() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 6, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 6, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 6, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 6, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 6, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 6, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 6, false>; Src = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, 6, false>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20: required from ‘void DataProblem::fillPsiQuad() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/OrthoMethods.h:42:51: required from ‘typename Eigen::MatrixBase::cross_product_return_type::type Eigen::MatrixBase::cross(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 3, 1, true>; Derived = Eigen::Block, 3, 1, true>; typename cross_product_return_type::type = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:183:42: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:48: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 4, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, 4, false>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20: required from ‘void DataProblem::fillPsiQuad() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:110:26: required from ‘Real Element::evaluate_point(const Eigen::Matrix&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:24: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 10, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 10, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 10, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 10, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 10, false>; Src = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, 10, false>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20: required from ‘void DataProblem::fillPsiQuad() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, 2, false>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20: required from ‘void DataProblem::fillPsiQuad() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, 3, false>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20: required from ‘void DataProblem::fillPsiQuad() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:105:22: required from ‘void HeatProcess::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5: required from ‘HeatProcess::HeatProcess(const DataProblem&, const FunctionalProblem&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:70:21: required from ‘std::pair FunctionalProblem::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72: required from ‘void HeatProcess::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5: required from ‘HeatProcess::HeatProcess(const DataProblem&, const FunctionalProblem&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:309:25: required from ‘std::tuple FunctionalProblem_time::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:316:87: required from ‘void HeatProcess_time::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:244:5: required from ‘HeatProcess_time::HeatProcess_time(const DataProblem_time&, const FunctionalProblem_time&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess_time<1, 2, 2>; Args = {DataProblem_time<1, 2, 2>&, FunctionalProblem_time<1, 2, 2>&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:46:144: required from ‘SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:202:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:45:21: required from ‘Eigen::Index Eigen::BlockImpl::nonZeros() const [with XprType = Eigen::Ref, 0, Eigen::OuterStride<> >; int BlockRows = 1; int BlockCols = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:97: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = 1; int BlockCols = -1; BlockType = Eigen::Block, 1, -1, true>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:377:24: required from ‘SpMat DataProblem_time::computeUpsilon(const std::vector&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:388:64: required from ‘void Heat_CV_time::perform_init_cv() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:352:5: required from ‘Heat_CV_time::Heat_CV_time(const DataProblem_time&, const FunctionalProblem_time&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV_time<1, 2, 2>; Args = {DataProblem_time<1, 2, 2>&, FunctionalProblem_time<1, 2, 2>&, int&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:76:126: required from ‘SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:202:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:48: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:48: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, 1, 1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, 1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, 1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, 1, 1, false>, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, 1, 1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:654:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/K_Fold_CV_L2_Error_imp.h:7:55: required from ‘Real KfoldCV_L2_error::operator()(const SpMat&, const VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; SpMat = Eigen::SparseMatrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:178:42: required from ‘void Heat_CV::perform_init_cv() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:140:5: required from ‘Heat_CV::Heat_CV(const DataProblem&, const FunctionalProblem&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&, int&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:59:110: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/K_Fold_CV_L2_Error_imp.h:7:55: required from ‘Real KfoldCV_L2_error::operator()(const SpMat&, const VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; SpMat = Eigen::SparseMatrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:178:42: required from ‘void Heat_CV::perform_init_cv() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:140:5: required from ‘Heat_CV::Heat_CV(const DataProblem&, const FunctionalProblem&, UInt) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV<1, 3, 3>; Args = {DataProblem<1, 3, 3>&, FunctionalProblem<1, 3, 3>&, int&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:59:110: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:108:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/K_Fold_CV_L2_Error_imp.h:7:55: required from ‘Real KfoldCV_L2_error::operator()(const SpMat&, const VectorXr&) [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; SpMat = Eigen::SparseMatrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:178:42: required from ‘void Heat_CV::perform_init_cv() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:140:5: required from ‘Heat_CV::Heat_CV(const DataProblem&, const FunctionalProblem&, UInt) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV<1, 1, 2>; Args = {DataProblem<1, 1, 2>&, FunctionalProblem<1, 1, 2>&, int&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:59:110: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:112:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 2, 1, true>; U = Eigen::Block, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 3, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, 3, false> >; SrcXprType = Eigen::Matrix; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, 3, false> >; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, 3, false>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20: required from ‘void DataProblem::fillPsiQuad() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 3, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 3, 1, false>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 2, 1, true>; U = Eigen::Block, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 6, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 6, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 6, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, 6, false> >; SrcXprType = Eigen::Matrix; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, 6, false> >; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 6, false>; Src = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, 6, false>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20: required from ‘void DataProblem::fillPsiQuad() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 6, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 6, 1, false>; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::Block, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::Block, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::Block, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 4, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 4, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, 4, false> >; SrcXprType = Eigen::Matrix; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, 4, false> >; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, 4, false>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20: required from ‘void DataProblem::fillPsiQuad() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 4, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 4, 1, false>; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::Block, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 10, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 10, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 10, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, 10, false> >; SrcXprType = Eigen::Matrix; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, 10, false> >; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 10, false>; Src = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, 10, false>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20: required from ‘void DataProblem::fillPsiQuad() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 10, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 10, 1, false>; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 2, 1, true>; U = Eigen::Block, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, 2, false> >; SrcXprType = Eigen::Matrix; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, 2, false> >; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, 2, false>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20: required from ‘void DataProblem::fillPsiQuad() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 2, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 2, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 2, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 2, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 2, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 2, 1, false>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 2, 1, true>; U = Eigen::Block, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 3, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, 3, false> >; SrcXprType = Eigen::Matrix; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, 3, false> >; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, 3, false>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:68:20: required from ‘void DataProblem::fillPsiQuad() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:37:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:67:66: required from ‘std::pair FunctionalProblem::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72: required from ‘void HeatProcess::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5: required from ‘HeatProcess::HeatProcess(const DataProblem&, const FunctionalProblem&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/K_Fold_CV_L2_Error_imp.h:8:40: required from ‘Real KfoldCV_L2_error::operator()(const SpMat&, const VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; SpMat = Eigen::SparseMatrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:178:42: required from ‘void Heat_CV::perform_init_cv() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:140:5: required from ‘Heat_CV::Heat_CV(const DataProblem&, const FunctionalProblem&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = Heat_CV<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&, int&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:59:110: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:48: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 4, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 4, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 4, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 4, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 4, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 10, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 10, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 10, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 10, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 10, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:48: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 1, 2, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 1, 2, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 1, 2, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 1, 2, false>, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 1, 2, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 1, 3, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 1, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 1, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 1, 3, false>, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 1, 3, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Product, Eigen::Matrix, 0>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, Eigen::Matrix, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem.h:46:66: required from ‘Real DataProblem::FEintegrate(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:69:55: required from ‘VectorXr HeatProcess::computeDensityOnlyData() [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:78:15: required from ‘void HeatProcess::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5: required from ‘HeatProcess::HeatProcess(const DataProblem&, const FunctionalProblem&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 3, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 3, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 6, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 6, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 6, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 6, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 6, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 4, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 4, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 4, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 4, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 4, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 4, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 10, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 10, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 10, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 10, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 10, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:55:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:70:21: required from ‘std::pair FunctionalProblem::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72: required from ‘void HeatProcess::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5: required from ‘HeatProcess::HeatProcess(const DataProblem&, const FunctionalProblem&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:732:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::DiagonalBase&) [with OtherDerived = Eigen::DiagonalWrapper >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:245:11: required from ‘SpMat DataProblem_time::makeLumped(const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:271:19: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:309:25: required from ‘std::tuple FunctionalProblem_time::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:316:87: required from ‘void HeatProcess_time::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:244:5: required from ‘HeatProcess_time::HeatProcess_time(const DataProblem_time&, const FunctionalProblem_time&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess_time<1, 2, 2>; Args = {DataProblem_time<1, 2, 2>&, FunctionalProblem_time<1, 2, 2>&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton_Time.h:46:144: required from ‘SEXPREC* DE_init_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:202:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 2; int ndim = 2; typename std::enable_if<(! isManifold), Element >::type = Element<3, 2, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 3, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element >::type = Element<4, 3, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:48: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:46: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Block, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Block, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:39:42: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:20: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:73: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::SparseMatrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 3, false>; SrcXprType = Eigen::Product >, Eigen::Block, 2, 3, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 3, false>; SrcXprType = Eigen::Product >, Eigen::Block, 2, 3, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 3, false>; Src = Eigen::Product >, Eigen::Block, 2, 3, false>, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 3, 3, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, 3, 3, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 3, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 6, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 6, false>; SrcXprType = Eigen::Product >, Eigen::Block, 2, 6, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 6, false>; SrcXprType = Eigen::Product >, Eigen::Block, 2, 6, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 6, false>; Src = Eigen::Product >, Eigen::Block, 2, 6, false>, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 3, 6, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 6, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, 3, 6, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 6, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, 2, 6, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element >::type = Element<4, 3, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:172:52: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element >::type = Element<4, 3, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 2, false>; SrcXprType = Eigen::Product >, Eigen::Block, 1, 2, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 2, false>; SrcXprType = Eigen::Product >, Eigen::Block, 1, 2, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 2, false>; Src = Eigen::Product >, Eigen::Block, 1, 2, false>, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 2, 2, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, 2, 2, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 1, 2, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, 1, 2, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 3, false>; SrcXprType = Eigen::Product >, Eigen::Block, 1, 3, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 3, false>; SrcXprType = Eigen::Product >, Eigen::Block, 1, 3, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Product >, Eigen::Block, 1, 3, false>, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 2, 3, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, 2, 3, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 1, 3, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, 1, 3, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:946:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:732:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::DiagonalBase&) [with OtherDerived = Eigen::DiagonalWrapper >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:245:11: required from ‘SpMat DataProblem_time::makeLumped(const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:271:19: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView, -1, -1, true> >; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:35: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView, -1, -1, true> >; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:35: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:321:17: required from ‘static void Eigen::internal::sparse_sparse_to_dense_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:55:103: required from ‘static void Eigen::internal::generic_product_impl::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix; ActualLhs = Eigen::Transpose >; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8; typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::DenseShape) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:61:5: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction.h:88:72: required from ‘DirectionBFGS::DirectionBFGS(const T&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; T = FunctionalProblem<1, 2, 2>; UInt = int]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = DirectionBFGS<1, 2, 2, FunctionalProblem<1, 2, 2> >; Args = {const FunctionalProblem<1, 2, 2>&, int}]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_Factory.h:32:74: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/13/bits/shared_ptr_base.h:1712:14: required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const DataProblem<1, 2, 2>&, const FunctionalProblem<1, 2, 2>&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = FixedStep<1, 2, 2>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ /usr/include/c++/13/bits/shared_ptr.h:464:59: required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const DataProblem<1, 2, 2>&, const FunctionalProblem<1, 2, 2>&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = FixedStep<1, 2, 2>]’ /usr/include/c++/13/bits/shared_ptr.h:1009:14: required from ‘std::shared_ptr >::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = FixedStep<1, 2, 2>; _Args = {const DataProblem<1, 2, 2>&, const FunctionalProblem<1, 2, 2>&, const __cxx11::basic_string, allocator >&}; typename enable_if<(! is_array< >::value), _Tp>::type = FixedStep<1, 2, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_Factory.h:18:67: required from ‘static std::shared_ptr > MinimizationAlgorithm_factory::createStepSolver(const DataProblem&, const FunctionalProblem&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:31:70: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:158:34: required from ‘void Eigen::internal::compute_inverse_size3_helper(const MatrixType&, const typename ResultType::Scalar&, const Eigen::Matrix&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; typename ResultType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:174:33: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element >::type = Element<4, 3, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:45:21: required from ‘Eigen::Index Eigen::BlockImpl::nonZeros() const [with XprType = Eigen::Ref, 0, Eigen::OuterStride<> >; int BlockRows = -1; int BlockCols = 1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:97: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView, -1, -1, true> >; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:35: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:277:18: required from ‘void Eigen::internal::sparse_sparse_to_dense_product_impl(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:322:78: required from ‘static void Eigen::internal::sparse_sparse_to_dense_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:55:103: required from ‘static void Eigen::internal::generic_product_impl::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix; ActualLhs = Eigen::Transpose >; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8; typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:61:5: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element >::type = Element<4, 3, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 16, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map, 16, Eigen::OuterStride<> >; DstType = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 16, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 16, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false>, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false>, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false>, 1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, 1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:40: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:195:43: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView, -1, -1, true> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:231:7: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::SparseView, -1, -1, true> >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::SparseView, -1, -1, true> >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 16, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map, 16, Eigen::OuterStride<> >; DstType = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 16, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map, 16, Eigen::OuterStride<> >; DstType = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 16, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map, 16, Eigen::OuterStride<> >; DstType = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:30: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 2, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 2, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 2, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 3, false>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 3, false>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 3, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 6, false>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 6, false>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 6, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 6; int _Cols = 6; int _Options = 0; int _MaxRows = 6; int _MaxCols = 6]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 2, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 2, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 2, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 3, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 6, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:70:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:43:37: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element >::type = Element<4, 3, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 3, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 3, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 3, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 4, false>, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 4, false>, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 3, 4, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 3, 4, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 10, false>, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 10, false>, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 3, 10, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 3, 10, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false>, 1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false>, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:23:79: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, 14, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, 14, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, 14, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, 14, 1, true>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, 14, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, 14, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 14, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 14, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 14, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 14, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 14, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 14, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, 14, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, 14, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, 14, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 10, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 10, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 10, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 10, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 10, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 10, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, 14, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, 14, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, 14, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, 14, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, 14, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, 14, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 14, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 14, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 14, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 14, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 14, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 14, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, 14, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 10, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, 14, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, 14, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:70:21: required from ‘std::pair FunctionalProblem::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72: required from ‘void HeatProcess::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5: required from ‘HeatProcess::HeatProcess(const DataProblem&, const FunctionalProblem&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:70:21: required from ‘std::pair FunctionalProblem::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72: required from ‘void HeatProcess::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5: required from ‘HeatProcess::HeatProcess(const DataProblem&, const FunctionalProblem&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53: required from ‘void Eigen::SparseLUMatrixUReturnType::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Block, -1, -1, true>; MatrixLType = Eigen::internal::MappedSuperNodalMatrix; MatrixUType = Eigen::MappedSparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 2, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 3, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 6, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 2, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 3, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 3, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 4, false>, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 14; int _Cols = 1; int _Options = 0; int _MaxRows = 14; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 14, 1, true>, 14, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 14, 1, true>, 14, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 14, 1, true>, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 14, 1, true>, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 14, 1, true>, 14, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 14, 1, true>, 14, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 10, false>, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:54:24: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 14, 1, true>, 14, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 14, 1, true>, 14, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 14, 1, true>, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 14, 1, true>, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 14, 1, true>, 14, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 14, 1, true>, 14, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57: required from ‘void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Block, -1, -1, true>; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:59:16: required from ‘void DataProblem::fillFEMatrices() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:36:5: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 6; int _Cols = 6; int _Options = 0; int _MaxRows = 6; int _MaxCols = 6]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 14, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 14, 1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 14, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, const Eigen::Transpose, 14, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, const Eigen::Transpose, 14, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, const Eigen::Transpose, 14, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, const Eigen::Transpose, 14, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, const Eigen::Transpose, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, 14, 1, true>; Dest = Eigen::Block, 4, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 4, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, 4, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 14, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 14, 1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 14, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, const Eigen::Transpose, 14, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, const Eigen::Transpose, 14, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, const Eigen::Transpose, 14, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, const Eigen::Transpose, 14, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, const Eigen::Transpose, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, 14, 1, true>; Dest = Eigen::Block, 10, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 10, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 10, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 10, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 10, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, 10, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:70:21: required from ‘std::pair FunctionalProblem::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72: required from ‘void HeatProcess::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5: required from ‘HeatProcess::HeatProcess(const DataProblem&, const FunctionalProblem&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:70:21: required from ‘std::pair FunctionalProblem::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72: required from ‘void HeatProcess::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5: required from ‘HeatProcess::HeatProcess(const DataProblem&, const FunctionalProblem&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:190:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:213:35: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, 14, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, 14, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>; U = Eigen::Block, 14, 1, true>, 14, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, 4, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:20: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, 14, 1, true>; Dest = Eigen::Block, 4, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 4, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, 14, 1, true>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true>; U = Eigen::Block, 14, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block, 14, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true>; U = Eigen::Block, 14, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false> >, 4, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false> >, 4, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false> >, 4, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false> >, 4, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false> >, 4, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false> >, 4, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 14; int _Cols = 1; int _Options = 0; int _MaxRows = 14; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 10, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 10, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 14; int _Cols = 1; int _Options = 0; int _MaxRows = 14; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 10, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 10, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 10, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 10, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 10, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 10, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 14; int _Cols = 1; int _Options = 0; int _MaxRows = 14; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, 14, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, 14, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>; U = Eigen::Block, 14, 1, true>, 14, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 10, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, 10, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:20: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, 14, 1, true>; Dest = Eigen::Block, 10, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 10, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, 14, 1, true>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true>; U = Eigen::Block, 14, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block, 14, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true>; U = Eigen::Block, 14, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 10, false> >, 10, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false> >, 10, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false> >, 10, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 10, false> >, 10, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 10, false> >, 10, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 10, false> >, 10, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:350:25: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:372:40: required from ‘Point<2> Element::computeProjection(const Point<2>&) const [with int NNODES = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, 4, 4, 14, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = false; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, 4, 4, 14, 1, true> >; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, 4, 4, 14, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = false; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, 4, 4, 14, 1, true> >; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:70:21: required from ‘std::pair FunctionalProblem::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72: required from ‘void HeatProcess::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5: required from ‘HeatProcess::HeatProcess(const DataProblem&, const FunctionalProblem&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:70:21: required from ‘std::pair FunctionalProblem::computeLlikPen_f(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:107:72: required from ‘void HeatProcess::computeStartingDensities() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:38:5: required from ‘HeatProcess::HeatProcess(const DataProblem&, const FunctionalProblem&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Global_Utilities/Include/Make_Unique.h:11:31: required from ‘std::unique_ptr<_Tp> fdaPDE::make_unique(Args&& ...) [with T = HeatProcess<1, 2, 2>; Args = {DataProblem<1, 2, 2>&, FunctionalProblem<1, 2, 2>&}]’ Density_Estimation/Source/../../Skeletons/Include/DE_Initialization_Skeleton.h:31:128: required from ‘SEXPREC* DE_init_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, UInt) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string; UInt = int]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:100:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, 2, 1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, 2, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, 2, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, 2, 1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, 2, 1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 14, 1, true>, 14, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 14, 1, true>, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, 14, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 10, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 10, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 10, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 10, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 14; int _Cols = 1; int _Options = 0; int _MaxRows = 14; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 10, false> >, const Eigen::Block, 10, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 10, false> >, const Eigen::Block, 10, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 10, false> >, const Eigen::Block, 10, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 10, false> >, const Eigen::Block, 10, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 10, false> >, const Eigen::Block, 10, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, 10, false>; U = Eigen::Block, 10, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 14; int _Cols = 1; int _Options = 0; int _MaxRows = 14; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 14, 1, true>, 14, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 14, 1, true>, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true> >, const Eigen::Block, 14, 1, true>, 14, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 14, true>, 1, 14, true> >, const Eigen::Block, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, -1, true>, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, true>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, true>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:587:39: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename DstXprType::Scalar = double; typename Eigen::PartialPivLU::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 6, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 6, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 6, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 6, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 6, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 6, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 6; int _Cols = 6; int _Options = 0; int _MaxRows = 6; int _MaxCols = 6]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 6, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 6, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 6, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 6, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 6, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 6, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 6; int _Cols = 6; int _Options = 0; int _MaxRows = 6; int _MaxCols = 6]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 6, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 6, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 6, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 6, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 6; int _Cols = 6; int _Options = 0; int _MaxRows = 6; int _MaxCols = 6]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 6; int _Cols = 6; int _Options = 0; int _MaxRows = 6; int _MaxCols = 6]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 14, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 14, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 14, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 14, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 14, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 14, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 14, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 14, true> >, const Eigen::Block, 14, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 14, true> >, const Eigen::Block, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 14, true> >, const Eigen::Block, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 14, true> >, const Eigen::Block, 14, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 14, true> >, const Eigen::Block, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 14, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 14, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 14, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 14, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 14, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 14, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 14, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 14, true> >, const Eigen::Block, 14, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 14, true> >, const Eigen::Block, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 14, true> >, const Eigen::Block, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 14, true> >, const Eigen::Block, 14, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 14, true> >, const Eigen::Block, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 6, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 6, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 6, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 6, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 6, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 6, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 6, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 6, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 6, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 6, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 6, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 6, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 6, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 6, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 6, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 6, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:48: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 10, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 10, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 10, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 10, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 10, false> >, const Eigen::Block, 10, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 14; int _Cols = 1; int _Options = 0; int _MaxRows = 14; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 10, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 10, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 10, false> >, const Eigen::Block, 10, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 10, false> >, const Eigen::Block, 10, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 10, false> >, const Eigen::Block, 10, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 10, false> >, const Eigen::Block, 10, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 14; int _Cols = 1; int _Options = 0; int _MaxRows = 14; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:48: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:48: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, 5, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, 5, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, 5, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, 5, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, 5, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 5, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 5, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 5, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> >, const Eigen::Block, 5, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> >, const Eigen::Block, 5, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> >, const Eigen::Block, 5, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> >, const Eigen::Block, 5, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> >, const Eigen::Block, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 5, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 5, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 5, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 5, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 5, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 5, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 5, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 5, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 5, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 5, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 5, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 5, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 5, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 5, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 5, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 5, true> >, const Eigen::Block, 5, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 5, true> >, const Eigen::Block, 5, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 5, true> >, const Eigen::Block, 5, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 5, true> >, const Eigen::Block, 5, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 5, true> >, const Eigen::Block, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 6, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 6, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 6, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 6, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 6, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 6; int _Cols = 6; int _Options = 0; int _MaxRows = 6; int _MaxCols = 6]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 6, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 6; int _Cols = 6; int _Options = 0; int _MaxRows = 6; int _MaxCols = 6]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:66:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 2, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, Eigen::Block, 2, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, 2, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Block, 2, 1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Block, 2, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 14, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 14, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 14, true> >, const Eigen::Block, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 14, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 14, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 14, true> >, const Eigen::Block, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 10; int _Options = 0; int _MaxRows = 10; int _MaxCols = 10]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:74:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:907:22: required from ‘void Eigen::internal::call_restricted_packet_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:47: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::false_type) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Map, 0, Eigen::OuterStride<> >; RhsT = Eigen::Map, 0, Eigen::OuterStride<> >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Func = Eigen::internal::assign_op; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 6, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 6, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 6, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 6, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 6, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 6, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 6, true> >, const Eigen::Block, 6, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> >, const Eigen::Block, 5, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 5, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> >, const Eigen::Block, 5, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> >, const Eigen::Block, 5, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> >, const Eigen::Block, 5, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, 5, true> >, const Eigen::Block, 5, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 2; int _Cols = 2; int _Options = 0; int _MaxRows = 2; int _MaxCols = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 5, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 5, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 5, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 5, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 5, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 5, true> >, const Eigen::Block, 5, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 5, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 5, true> >, const Eigen::Block, 5, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 5, true> >, const Eigen::Block, 5, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 5, true> >, const Eigen::Block, 5, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 5, true> >, const Eigen::Block, 5, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:95:18: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:76:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 3, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> > >; _Scalar = double; int _Rows = 5; int _Cols = 1; int _Options = 0; int _MaxRows = 5; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:91:52: required from ‘MatrixXr FunctionalProblem::computellikLaplacian(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:112:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:78:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:20: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, 2, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 3, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:126:50: required from ‘SpMat DataProblem::computePsi(const std::vector&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:42:22: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:72:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:276:9: required from ‘void DataProblem_time::fillPenaltySpace() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:197:5: required from ‘DataProblem_time::DataProblem_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::vector&, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:35:42: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 3, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 3, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:48: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 3, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:48: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:48: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:48: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 3, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 3, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:48: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:53:48: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Data_Problem_imp.h:17:42: required from ‘DataProblem::DataProblem(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, bool) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:24:34: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:68:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:220:22: required from ‘MatrixXr FunctionalProblem_time::computellikLaplacian(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:276:21: required from ‘std::pair, Eigen::Matrix > FunctionalProblem_time::computeCovariance_CI(const VectorXr&, Real, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:79:50: required from ‘void FEDE_time::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton_Time.h:50:15: required from ‘SEXPREC* DE_skeleton_time(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:168:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:115:14: required from ‘std::pair, Eigen::Matrix > FunctionalProblem::computeCovariance_CI(const VectorXr&, Real) const [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/FE_Density_Estimation_imp.h:36:50: required from ‘void FEDE::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:37:12: required from ‘SEXPREC* DE_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, const std::string&, const std::string&, const std::string&) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Density_Estimation/Source/Rfun_Density_Estimation.cpp:64:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:133:79: required from ‘VectorXr DirectionBFGS::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:124:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:28: required from ‘VectorXr DirectionConjugateGradient::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:50:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:329:47: required from ‘const VectorXr* HeatProcess_time::chooseInitialization(Real, Real) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Density_Initialization_imp.h:326:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:67:37: required from ‘VectorXr DirectionConjugateGradient::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:50:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::SparseMatrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::SparseMatrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:260:59: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::SparseMatrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::SparseMatrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:263:40: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:266:56: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:34: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:217:35: required from ‘VectorXr DirectionLBFGS::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:195:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:71:29: required from ‘VectorXr DirectionConjugateGradient::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:50:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:169:54: required from ‘std::pair > FunctionalProblem_time::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:170:61: required from ‘std::pair > FunctionalProblem_time::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:170:90: required from ‘std::pair > FunctionalProblem_time::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:170:183: required from ‘std::pair > FunctionalProblem_time::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:53: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:115: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:53: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:115: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:53: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:115: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:115: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:53: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:115: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:115: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:53: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:115: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:115: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:53: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:115: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Transpose >; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:166:29: required from ‘std::pair > FunctionalProblem_time::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:67:37: required from ‘VectorXr DirectionConjugateGradient::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:50:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:217:35: required from ‘VectorXr DirectionLBFGS::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:195:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:71:29: required from ‘VectorXr DirectionConjugateGradient::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:50:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:133:15: required from ‘VectorXr DirectionBFGS::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:124:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:142:24: required from ‘VectorXr DirectionBFGS::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:124:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Transpose > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Transpose > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, const Eigen::Transpose > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Transpose >; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:166:29: required from ‘std::pair > FunctionalProblem_time::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Transpose >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:260:14: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:260:14: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Transpose >; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, Eigen::Matrix > > >; Rhs = Eigen::SparseMatrix; int ProductType = 7; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:260:14: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose, Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Transpose >; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, Eigen::Matrix > > >; Rhs = Eigen::SparseMatrix; int ProductType = 7; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose, Eigen::Matrix > > >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:260:14: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:263:14: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:11: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:142:24: required from ‘VectorXr DirectionBFGS::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:124:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:142:24: required from ‘VectorXr DirectionBFGS::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:124:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Transpose >; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:11: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:11: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:11: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:11: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:11: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:142:24: required from ‘VectorXr DirectionBFGS::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:124:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:11: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:54:11: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 14, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 14, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 14, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 14, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 10, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 10, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 10, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 10, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 10, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 10, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 14, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 14, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 14, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, 14, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 14, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 14, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 14, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 14, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 14, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 14, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 14, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 14, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 14, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 14, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 14, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 14, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 14, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 14, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, 14, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, 14, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 6, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 6, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 6, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 6, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 6, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 6, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 6, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 6, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 6, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 6, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 6, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 6, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 6, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 6, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 6, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 6, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 6, true> >, const Eigen::Block, 6, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 6, true> >, const Eigen::Block, 6, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 6, true> >, const Eigen::Block, 6, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 6, true> >, const Eigen::Block, 6, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 6, true> >, const Eigen::Block, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 5, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 5, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 5, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 5, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 5, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 5, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 5, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 5, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 5, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 5, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 5, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 5, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 5, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 5, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 5, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, 5, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, 5, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, 5, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, 5, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 5, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 5, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 5, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 5, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 5, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 5, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 5, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 5, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 5, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 5, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 5, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 5, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 5, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 5, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 5, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 5, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 5, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 5, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 5, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 5, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 6, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 6, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 6, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 6, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 6, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 6, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 6, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 6, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 6, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 6, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 6, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 6, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 6, true> >, const Eigen::Block, 6, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 6, true> >, const Eigen::Block, 6, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 6, true> >, const Eigen::Block, 6, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 6, true> >, const Eigen::Block, 6, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 6, true> >, const Eigen::Block, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Transpose >, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:133:15: required from ‘VectorXr DirectionBFGS::computeDirection(const VectorXr&, const VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; T = FunctionalProblem_time<2, 3, 3>; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:124:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 14, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 14, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 14, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 14, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 14, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, 14, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, 14, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 14, true> >, const Eigen::Block, 14, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 6, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 6, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 6, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 6, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 6, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 6, true> >, const Eigen::Block, 6, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 6, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 6, true> >, const Eigen::Block, 6, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 6, true> >, const Eigen::Block, 6, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 6, true> >, const Eigen::Block, 6, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 6, true> >, const Eigen::Block, 6, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 5, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 5, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 5, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 5, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 5, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, 5, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 5, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, 5, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, 5, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, 5, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, 5, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 5, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 5, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 5, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 5, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 5, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 5, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 5, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 5, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 5, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 5, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 5, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 5, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 6, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 6, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 6, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 6, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 6, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 6, true> >, const Eigen::Block, 6, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:29:13: required from ‘std::pair > FunctionalProblem::computeIntegrals(const VectorXr&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:46:25: required from ‘std::tuple, double, double> FunctionalProblem::computeFunctional_g(const VectorXr&, Real, const SpMat&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:150:71: required from ‘void RightCrossValidation::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:133:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:169:22: required from ‘std::pair > FunctionalProblem_time::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:169:22: required from ‘std::pair > FunctionalProblem_time::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:169:22: required from ‘std::pair > FunctionalProblem_time::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:169:22: required from ‘std::pair > FunctionalProblem_time::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:169:22: required from ‘std::pair > FunctionalProblem_time::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:169:22: required from ‘std::pair > FunctionalProblem_time::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:169:22: required from ‘std::pair > FunctionalProblem_time::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:169:22: required from ‘std::pair > FunctionalProblem_time::computeIntegrals(const VectorXr&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Functional_Problem_imp.h:249:27: required from ‘std::tuple, double, double, double> FunctionalProblem_time::computeFunctional_g(const VectorXr&, Real, Real, const SpMat&) const [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix; Real = double; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:330:71: required from ‘void RightCrossValidation_time::performCV_core(UInt, const SpMat&, const SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; UInt = int; SpMat = Eigen::SparseMatrix]’ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Preprocess_Phase_imp.h:309:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from Density_Estimation/Source/../../FdaPDE.h:50: In member function ‘RNumericMatrix::operator()(int, int) const’, inlined from ‘Point<2>::Point(int, RNumericMatrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:29:23, inlined from ‘MeshHandler<1, 1, 2>::getPoint(int) const’ at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:164:32, inlined from ‘projection<1, 1, 2>::computeProjection()std::enable_if, std::allocator > > >::type’ at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:49:37: Density_Estimation/Source/../../Global_Utilities/Include/RObjects.h:17:69: warning: ‘pos_min’ may be used uninitialized [-Wmaybe-uninitialized] 17 | const Real& operator()(UInt i, UInt j) const {return matr_[i+nrows_*j];} | ~^~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h: In member function ‘projection<1, 1, 2>::computeProjection()std::enable_if, std::allocator > > >::type’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:39:14: note: ‘pos_min’ was declared here 39 | UInt pos_min; | ^~~~~~~ In member function ‘RNumericMatrix::operator()(int, int) const’, inlined from ‘Point<2>::Point(int, RNumericMatrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:29:23, inlined from ‘MeshHandler<2, 1, 2>::getPoint(int) const’ at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:164:32, inlined from ‘projection<2, 1, 2>::computeProjection()std::enable_if, std::allocator > > >::type’ at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:49:37: Density_Estimation/Source/../../Global_Utilities/Include/RObjects.h:17:69: warning: ‘pos_min’ may be used uninitialized [-Wmaybe-uninitialized] 17 | const Real& operator()(UInt i, UInt j) const {return matr_[i+nrows_*j];} | ~^~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h: In member function ‘projection<2, 1, 2>::computeProjection()std::enable_if, std::allocator > > >::type’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:39:14: note: ‘pos_min’ was declared here 39 | UInt pos_min; | ^~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h: In member function ‘projection<2, 2, 3>::computeProjection()std::enable_if, std::allocator > > >::type’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:39:14: warning: ‘pos_min’ may be used uninitialized [-Wmaybe-uninitialized] Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h: In member function ‘projection<1, 2, 3>::computeProjection()std::enable_if, std::allocator > > >::type’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/../../FE_Assemblers_Solvers/Include/Projection_imp.h:39:14: warning: ‘pos_min’ may be used uninitialized [-Wmaybe-uninitialized] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:294: In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<3, 2, 2>::Element(Element<3, 2, 2> const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 80].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree.h:122, from Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/Mesh.h:12, from Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:7: Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<3, 2, 2>::Element(Element<3, 2, 2> const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 112].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Element<3, 2, 2>::Element(Element<3, 2, 2> const&)’, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7: warning: ‘MEM[(const struct Element &)&obj].element_measure’ may be used uninitialized [-Wmaybe-uninitialized] 57 | class Element : public Identifier { | ^~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<6, 2, 2>::Element(Element<6, 2, 2> const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 160].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<6, 2, 2>::Element(Element<6, 2, 2> const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 192].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<3, 2, 3>::Element(Element<3, 2, 3> const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 112].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<3, 2, 3>::Element(Element<3, 2, 3> const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 160].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Element<3, 2, 3>::Element(Element<3, 2, 3> const&)’, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:168:7: warning: ‘MEM[(const struct Element &)&obj].element_measure’ may be used uninitialized [-Wmaybe-uninitialized] 168 | class Element : public Identifier { | ^~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<10, 3, 3>::Element(Element<10, 3, 3> const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 328].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<10, 3, 3>::Element(Element<10, 3, 3> const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 400].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<6, 2, 3>::Element(Element<6, 2, 3> const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 208].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<6, 2, 3>::Element(Element<6, 2, 3> const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 256].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<4, 3, 3>::Element(Element<4, 3, 3> const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 136].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<4, 3, 3>::Element(Element<4, 3, 3> const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 208].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:255: In member function ‘Eigen::internal::scalar_constant_op::scalar_constant_op(Eigen::internal::scalar_constant_op const&)’, inlined from ‘Eigen::CwiseNullaryOp, Eigen::Matrix const>::CwiseNullaryOp(Eigen::CwiseNullaryOp, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const>::CwiseBinaryOp(Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const>::CwiseBinaryOp(Eigen::CwiseUnaryOp, Eigen::Matrix const> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&, Eigen::internal::scalar_sum_op const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22, inlined from ‘Eigen::MatrixBase, Eigen::Matrix const> >::operator+, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >(Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> > const&) constEigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >::Scalar>, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const> const’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:27:1, inlined from ‘DirectionConjugateGradient<1, 2, 2, FunctionalProblem<1, 2, 2> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: ‘beta’ may be used uninitialized [-Wmaybe-uninitialized] 19 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { } | ^~~~~~~~~~~~~~~~~~~~~~ In file included from Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction.h:146, from Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm.h:6, from Density_Estimation/Source/../../Skeletons/Include/DE_Skeleton.h:14: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function ‘DirectionConjugateGradient<1, 2, 2, FunctionalProblem<1, 2, 2> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: ‘beta’ was declared here 61 | Real beta; | ^~~~ In member function ‘Eigen::internal::scalar_constant_op::scalar_constant_op(Eigen::internal::scalar_constant_op const&)’, inlined from ‘Eigen::CwiseNullaryOp, Eigen::Matrix const>::CwiseNullaryOp(Eigen::CwiseNullaryOp, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const>::CwiseBinaryOp(Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const>::CwiseBinaryOp(Eigen::CwiseUnaryOp, Eigen::Matrix const> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&, Eigen::internal::scalar_sum_op const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22, inlined from ‘Eigen::MatrixBase, Eigen::Matrix const> >::operator+, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >(Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> > const&) constEigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >::Scalar>, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const> const’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:27:1, inlined from ‘DirectionConjugateGradient<2, 3, 3, FunctionalProblem_time<2, 3, 3> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: ‘beta’ may be used uninitialized [-Wmaybe-uninitialized] 19 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { } | ^~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function ‘DirectionConjugateGradient<2, 3, 3, FunctionalProblem_time<2, 3, 3> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: ‘beta’ was declared here 61 | Real beta; | ^~~~ In member function ‘Eigen::internal::scalar_constant_op::scalar_constant_op(Eigen::internal::scalar_constant_op const&)’, inlined from ‘Eigen::CwiseNullaryOp, Eigen::Matrix const>::CwiseNullaryOp(Eigen::CwiseNullaryOp, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const>::CwiseBinaryOp(Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const>::CwiseBinaryOp(Eigen::CwiseUnaryOp, Eigen::Matrix const> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&, Eigen::internal::scalar_sum_op const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22, inlined from ‘Eigen::MatrixBase, Eigen::Matrix const> >::operator+, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >(Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> > const&) constEigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >::Scalar>, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const> const’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:27:1, inlined from ‘DirectionConjugateGradient<1, 3, 3, FunctionalProblem_time<1, 3, 3> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: ‘beta’ may be used uninitialized [-Wmaybe-uninitialized] 19 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { } | ^~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function ‘DirectionConjugateGradient<1, 3, 3, FunctionalProblem_time<1, 3, 3> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: ‘beta’ was declared here 61 | Real beta; | ^~~~ In member function ‘Eigen::internal::scalar_constant_op::scalar_constant_op(Eigen::internal::scalar_constant_op const&)’, inlined from ‘Eigen::CwiseNullaryOp, Eigen::Matrix const>::CwiseNullaryOp(Eigen::CwiseNullaryOp, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const>::CwiseBinaryOp(Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const>::CwiseBinaryOp(Eigen::CwiseUnaryOp, Eigen::Matrix const> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&, Eigen::internal::scalar_sum_op const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22, inlined from ‘Eigen::MatrixBase, Eigen::Matrix const> >::operator+, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >(Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> > const&) constEigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >::Scalar>, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const> const’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:27:1, inlined from ‘DirectionConjugateGradient<2, 2, 3, FunctionalProblem_time<2, 2, 3> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: ‘beta’ may be used uninitialized [-Wmaybe-uninitialized] 19 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { } | ^~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function ‘DirectionConjugateGradient<2, 2, 3, FunctionalProblem_time<2, 2, 3> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: ‘beta’ was declared here 61 | Real beta; | ^~~~ In member function ‘Eigen::internal::scalar_constant_op::scalar_constant_op(Eigen::internal::scalar_constant_op const&)’, inlined from ‘Eigen::CwiseNullaryOp, Eigen::Matrix const>::CwiseNullaryOp(Eigen::CwiseNullaryOp, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const>::CwiseBinaryOp(Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const>::CwiseBinaryOp(Eigen::CwiseUnaryOp, Eigen::Matrix const> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&, Eigen::internal::scalar_sum_op const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22, inlined from ‘Eigen::MatrixBase, Eigen::Matrix const> >::operator+, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >(Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> > const&) constEigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >::Scalar>, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const> const’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:27:1, inlined from ‘DirectionConjugateGradient<1, 2, 3, FunctionalProblem_time<1, 2, 3> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: ‘beta’ may be used uninitialized [-Wmaybe-uninitialized] 19 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { } | ^~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function ‘DirectionConjugateGradient<1, 2, 3, FunctionalProblem_time<1, 2, 3> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: ‘beta’ was declared here 61 | Real beta; | ^~~~ In member function ‘Eigen::internal::scalar_constant_op::scalar_constant_op(Eigen::internal::scalar_constant_op const&)’, inlined from ‘Eigen::CwiseNullaryOp, Eigen::Matrix const>::CwiseNullaryOp(Eigen::CwiseNullaryOp, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const>::CwiseBinaryOp(Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const>::CwiseBinaryOp(Eigen::CwiseUnaryOp, Eigen::Matrix const> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&, Eigen::internal::scalar_sum_op const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22, inlined from ‘Eigen::MatrixBase, Eigen::Matrix const> >::operator+, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >(Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> > const&) constEigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >::Scalar>, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const> const’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:27:1, inlined from ‘DirectionConjugateGradient<2, 2, 2, FunctionalProblem_time<2, 2, 2> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: ‘beta’ may be used uninitialized [-Wmaybe-uninitialized] 19 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { } | ^~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function ‘DirectionConjugateGradient<2, 2, 2, FunctionalProblem_time<2, 2, 2> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: ‘beta’ was declared here 61 | Real beta; | ^~~~ In member function ‘Eigen::internal::scalar_constant_op::scalar_constant_op(Eigen::internal::scalar_constant_op const&)’, inlined from ‘Eigen::CwiseNullaryOp, Eigen::Matrix const>::CwiseNullaryOp(Eigen::CwiseNullaryOp, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const>::CwiseBinaryOp(Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const>::CwiseBinaryOp(Eigen::CwiseUnaryOp, Eigen::Matrix const> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&, Eigen::internal::scalar_sum_op const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22, inlined from ‘Eigen::MatrixBase, Eigen::Matrix const> >::operator+, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >(Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> > const&) constEigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >::Scalar>, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const> const’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:27:1, inlined from ‘DirectionConjugateGradient<1, 2, 2, FunctionalProblem_time<1, 2, 2> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: ‘beta’ may be used uninitialized [-Wmaybe-uninitialized] 19 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { } | ^~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function ‘DirectionConjugateGradient<1, 2, 2, FunctionalProblem_time<1, 2, 2> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: ‘beta’ was declared here 61 | Real beta; | ^~~~ In member function ‘Eigen::internal::scalar_constant_op::scalar_constant_op(Eigen::internal::scalar_constant_op const&)’, inlined from ‘Eigen::CwiseNullaryOp, Eigen::Matrix const>::CwiseNullaryOp(Eigen::CwiseNullaryOp, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const>::CwiseBinaryOp(Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const>::CwiseBinaryOp(Eigen::CwiseUnaryOp, Eigen::Matrix const> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&, Eigen::internal::scalar_sum_op const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22, inlined from ‘Eigen::MatrixBase, Eigen::Matrix const> >::operator+, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >(Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> > const&) constEigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >::Scalar>, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const> const’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:27:1, inlined from ‘DirectionConjugateGradient<2, 1, 2, FunctionalProblem<2, 1, 2> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: ‘beta’ may be used uninitialized [-Wmaybe-uninitialized] 19 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { } | ^~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function ‘DirectionConjugateGradient<2, 1, 2, FunctionalProblem<2, 1, 2> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: ‘beta’ was declared here 61 | Real beta; | ^~~~ In member function ‘Eigen::internal::scalar_constant_op::scalar_constant_op(Eigen::internal::scalar_constant_op const&)’, inlined from ‘Eigen::CwiseNullaryOp, Eigen::Matrix const>::CwiseNullaryOp(Eigen::CwiseNullaryOp, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const>::CwiseBinaryOp(Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const>::CwiseBinaryOp(Eigen::CwiseUnaryOp, Eigen::Matrix const> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&, Eigen::internal::scalar_sum_op const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22, inlined from ‘Eigen::MatrixBase, Eigen::Matrix const> >::operator+, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >(Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> > const&) constEigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >::Scalar>, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const> const’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:27:1, inlined from ‘DirectionConjugateGradient<1, 1, 2, FunctionalProblem<1, 1, 2> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: ‘beta’ may be used uninitialized [-Wmaybe-uninitialized] 19 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { } | ^~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function ‘DirectionConjugateGradient<1, 1, 2, FunctionalProblem<1, 1, 2> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: ‘beta’ was declared here 61 | Real beta; | ^~~~ In member function ‘Eigen::internal::scalar_constant_op::scalar_constant_op(Eigen::internal::scalar_constant_op const&)’, inlined from ‘Eigen::CwiseNullaryOp, Eigen::Matrix const>::CwiseNullaryOp(Eigen::CwiseNullaryOp, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const>::CwiseBinaryOp(Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const>::CwiseBinaryOp(Eigen::CwiseUnaryOp, Eigen::Matrix const> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&, Eigen::internal::scalar_sum_op const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22, inlined from ‘Eigen::MatrixBase, Eigen::Matrix const> >::operator+, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >(Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> > const&) constEigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >::Scalar>, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const> const’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:27:1, inlined from ‘DirectionConjugateGradient<2, 3, 3, FunctionalProblem<2, 3, 3> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: ‘beta’ may be used uninitialized [-Wmaybe-uninitialized] 19 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { } | ^~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function ‘DirectionConjugateGradient<2, 3, 3, FunctionalProblem<2, 3, 3> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: ‘beta’ was declared here 61 | Real beta; | ^~~~ In member function ‘Eigen::internal::scalar_constant_op::scalar_constant_op(Eigen::internal::scalar_constant_op const&)’, inlined from ‘Eigen::CwiseNullaryOp, Eigen::Matrix const>::CwiseNullaryOp(Eigen::CwiseNullaryOp, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const>::CwiseBinaryOp(Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const>::CwiseBinaryOp(Eigen::CwiseUnaryOp, Eigen::Matrix const> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&, Eigen::internal::scalar_sum_op const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22, inlined from ‘Eigen::MatrixBase, Eigen::Matrix const> >::operator+, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >(Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> > const&) constEigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >::Scalar>, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const> const’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:27:1, inlined from ‘DirectionConjugateGradient<1, 3, 3, FunctionalProblem<1, 3, 3> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: ‘beta’ may be used uninitialized [-Wmaybe-uninitialized] 19 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { } | ^~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function ‘DirectionConjugateGradient<1, 3, 3, FunctionalProblem<1, 3, 3> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: ‘beta’ was declared here 61 | Real beta; | ^~~~ In member function ‘Eigen::internal::scalar_constant_op::scalar_constant_op(Eigen::internal::scalar_constant_op const&)’, inlined from ‘Eigen::CwiseNullaryOp, Eigen::Matrix const>::CwiseNullaryOp(Eigen::CwiseNullaryOp, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const>::CwiseBinaryOp(Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const>::CwiseBinaryOp(Eigen::CwiseUnaryOp, Eigen::Matrix const> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&, Eigen::internal::scalar_sum_op const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22, inlined from ‘Eigen::MatrixBase, Eigen::Matrix const> >::operator+, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >(Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> > const&) constEigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >::Scalar>, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const> const’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:27:1, inlined from ‘DirectionConjugateGradient<2, 2, 3, FunctionalProblem<2, 2, 3> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: ‘beta’ may be used uninitialized [-Wmaybe-uninitialized] 19 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { } | ^~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function ‘DirectionConjugateGradient<2, 2, 3, FunctionalProblem<2, 2, 3> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: ‘beta’ was declared here 61 | Real beta; | ^~~~ In member function ‘Eigen::internal::scalar_constant_op::scalar_constant_op(Eigen::internal::scalar_constant_op const&)’, inlined from ‘Eigen::CwiseNullaryOp, Eigen::Matrix const>::CwiseNullaryOp(Eigen::CwiseNullaryOp, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const>::CwiseBinaryOp(Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const>::CwiseBinaryOp(Eigen::CwiseUnaryOp, Eigen::Matrix const> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&, Eigen::internal::scalar_sum_op const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22, inlined from ‘Eigen::MatrixBase, Eigen::Matrix const> >::operator+, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >(Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> > const&) constEigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >::Scalar>, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const> const’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:27:1, inlined from ‘DirectionConjugateGradient<1, 2, 3, FunctionalProblem<1, 2, 3> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: ‘beta’ may be used uninitialized [-Wmaybe-uninitialized] 19 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { } | ^~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function ‘DirectionConjugateGradient<1, 2, 3, FunctionalProblem<1, 2, 3> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: ‘beta’ was declared here 61 | Real beta; | ^~~~ In member function ‘Eigen::internal::scalar_constant_op::scalar_constant_op(Eigen::internal::scalar_constant_op const&)’, inlined from ‘Eigen::CwiseNullaryOp, Eigen::Matrix const>::CwiseNullaryOp(Eigen::CwiseNullaryOp, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const>::CwiseBinaryOp(Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7, inlined from ‘Eigen::CwiseBinaryOp, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const>::CwiseBinaryOp(Eigen::CwiseUnaryOp, Eigen::Matrix const> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const&, Eigen::internal::scalar_sum_op const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:22, inlined from ‘Eigen::MatrixBase, Eigen::Matrix const> >::operator+, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >(Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> > const&) constEigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> >::Scalar>, Eigen::CwiseUnaryOp, Eigen::Matrix const> const, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Matrix const> const> const’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseBinaryOps.h:27:1, inlined from ‘DirectionConjugateGradient<2, 2, 2, FunctionalProblem<2, 2, 2> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’ at Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:91:20: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h:19:95: warning: ‘beta’ may be used uninitialized [-Wmaybe-uninitialized] 19 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { } | ^~~~~~~~~~~~~~~~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h: In member function ‘DirectionConjugateGradient<2, 2, 2, FunctionalProblem<2, 2, 2> >::computeDirection(Eigen::Matrix const&, Eigen::Matrix const&)’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Descent_Direction_imp.h:61:14: note: ‘beta’ was declared here 61 | Real beta; | ^~~~ In file included from Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm.h:244: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function ‘FixedStep<2, 3, 3>::apply_core(Eigen::SparseMatrix const&, double, Eigen::Matrix const&) const’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:99:23: warning: ‘loss_old’ may be used uninitialized [-Wmaybe-uninitialized] 99 | if ((loss_old - loss) < 0){} | ~~~~~~~~~~^~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:49:16: note: ‘loss_old’ was declared here 49 | Real loss, loss_old, llik, llik_old, pen, pen_old; | ^~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function ‘FixedStep<1, 3, 3>::apply_core(Eigen::SparseMatrix const&, double, Eigen::Matrix const&) const’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:99:23: warning: ‘loss_old’ may be used uninitialized [-Wmaybe-uninitialized] 99 | if ((loss_old - loss) < 0){} | ~~~~~~~~~~^~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:49:16: note: ‘loss_old’ was declared here 49 | Real loss, loss_old, llik, llik_old, pen, pen_old; | ^~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function ‘FixedStep<2, 2, 3>::apply_core(Eigen::SparseMatrix const&, double, Eigen::Matrix const&) const’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:99:23: warning: ‘loss_old’ may be used uninitialized [-Wmaybe-uninitialized] 99 | if ((loss_old - loss) < 0){} | ~~~~~~~~~~^~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:49:16: note: ‘loss_old’ was declared here 49 | Real loss, loss_old, llik, llik_old, pen, pen_old; | ^~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function ‘FixedStep<2, 2, 2>::apply_core(Eigen::SparseMatrix const&, double, Eigen::Matrix const&) const’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:99:23: warning: ‘loss_old’ may be used uninitialized [-Wmaybe-uninitialized] 99 | if ((loss_old - loss) < 0){} | ~~~~~~~~~~^~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:49:16: note: ‘loss_old’ was declared here 49 | Real loss, loss_old, llik, llik_old, pen, pen_old; | ^~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function ‘FixedStep<2, 1, 2>::apply_core(Eigen::SparseMatrix const&, double, Eigen::Matrix const&) const’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:99:23: warning: ‘loss_old’ may be used uninitialized [-Wmaybe-uninitialized] 99 | if ((loss_old - loss) < 0){} | ~~~~~~~~~~^~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:49:16: note: ‘loss_old’ was declared here 49 | Real loss, loss_old, llik, llik_old, pen, pen_old; | ^~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function ‘FixedStep<1, 1, 2>::apply_core(Eigen::SparseMatrix const&, double, Eigen::Matrix const&) const’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:99:23: warning: ‘loss_old’ may be used uninitialized [-Wmaybe-uninitialized] 99 | if ((loss_old - loss) < 0){} | ~~~~~~~~~~^~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:49:16: note: ‘loss_old’ was declared here 49 | Real loss, loss_old, llik, llik_old, pen, pen_old; | ^~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function ‘FixedStep<1, 2, 2>::apply_core(Eigen::SparseMatrix const&, double, Eigen::Matrix const&) const’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:99:23: warning: ‘loss_old’ may be used uninitialized [-Wmaybe-uninitialized] 99 | if ((loss_old - loss) < 0){} | ~~~~~~~~~~^~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:49:16: note: ‘loss_old’ was declared here 49 | Real loss, loss_old, llik, llik_old, pen, pen_old; | ^~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function ‘FixedStep<1, 2, 3>::apply_core(Eigen::SparseMatrix const&, double, Eigen::Matrix const&) const’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:99:23: warning: ‘loss_old’ may be used uninitialized [-Wmaybe-uninitialized] 99 | if ((loss_old - loss) < 0){} | ~~~~~~~~~~^~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:49:16: note: ‘loss_old’ was declared here 49 | Real loss, loss_old, llik, llik_old, pen, pen_old; | ^~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function ‘FixedStep_time<2, 3, 3>::apply_core(Eigen::SparseMatrix const&, double, double, Eigen::Matrix const&) const’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:400:23: warning: ‘loss_old’ may be used uninitialized [-Wmaybe-uninitialized] 400 | if ((loss_old - loss) < 0){} | ~~~~~~~~~~^~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:349:16: note: ‘loss_old’ was declared here 349 | Real loss, loss_old, llik, llik_old, pen_S, pen_T, pen_old_S, pen_old_T; | ^~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function ‘FixedStep_time<1, 3, 3>::apply_core(Eigen::SparseMatrix const&, double, double, Eigen::Matrix const&) const’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:400:23: warning: ‘loss_old’ may be used uninitialized [-Wmaybe-uninitialized] 400 | if ((loss_old - loss) < 0){} | ~~~~~~~~~~^~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:349:16: note: ‘loss_old’ was declared here 349 | Real loss, loss_old, llik, llik_old, pen_S, pen_T, pen_old_S, pen_old_T; | ^~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function ‘FixedStep_time<2, 2, 3>::apply_core(Eigen::SparseMatrix const&, double, double, Eigen::Matrix const&) const’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:400:23: warning: ‘loss_old’ may be used uninitialized [-Wmaybe-uninitialized] 400 | if ((loss_old - loss) < 0){} | ~~~~~~~~~~^~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:349:16: note: ‘loss_old’ was declared here 349 | Real loss, loss_old, llik, llik_old, pen_S, pen_T, pen_old_S, pen_old_T; | ^~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function ‘FixedStep_time<1, 2, 3>::apply_core(Eigen::SparseMatrix const&, double, double, Eigen::Matrix const&) const’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:400:23: warning: ‘loss_old’ may be used uninitialized [-Wmaybe-uninitialized] 400 | if ((loss_old - loss) < 0){} | ~~~~~~~~~~^~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:349:16: note: ‘loss_old’ was declared here 349 | Real loss, loss_old, llik, llik_old, pen_S, pen_T, pen_old_S, pen_old_T; | ^~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function ‘FixedStep_time<2, 2, 2>::apply_core(Eigen::SparseMatrix const&, double, double, Eigen::Matrix const&) const’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:400:23: warning: ‘loss_old’ may be used uninitialized [-Wmaybe-uninitialized] 400 | if ((loss_old - loss) < 0){} | ~~~~~~~~~~^~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:349:16: note: ‘loss_old’ was declared here 349 | Real loss, loss_old, llik, llik_old, pen_S, pen_T, pen_old_S, pen_old_T; | ^~~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h: In member function ‘FixedStep_time<1, 2, 2>::apply_core(Eigen::SparseMatrix const&, double, double, Eigen::Matrix const&) const’: Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:400:23: warning: ‘loss_old’ may be used uninitialized [-Wmaybe-uninitialized] 400 | if ((loss_old - loss) < 0){} | ~~~~~~~~~~^~~~~~~ Density_Estimation/Source/../../Skeletons/Include/../../Density_Estimation/Include/Optimization_Algorithm_imp.h:349:16: note: ‘loss_old’ was declared here 349 | Real loss, loss_old, llik, llik_old, pen_S, pen_T, pen_old_S, pen_old_T; | ^~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c FE_Assemblers_Solvers/Source/FEM_Eval.cpp -o FE_Assemblers_Solvers/Source/FEM_Eval.o In file included from FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:362, from FE_Assemblers_Solvers/Source/FEM_Eval.cpp:12: FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment] 223 | // | \ | ^ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment] 226 | // | \ | ^ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment] 231 | // | \ | ^ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment] 233 | // | \ | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from FE_Assemblers_Solvers/Source/../../FdaPDE.h:32, from FE_Assemblers_Solvers/Source/FEM_Eval.cpp:9: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from FE_Assemblers_Solvers/Source/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ FE_Assemblers_Solvers/Source/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:248:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:351:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<6, 2, 2>’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:117:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:119:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:73: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 1, true>’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:183:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:205:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:205:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 2>’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:341:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:341:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:341:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:365:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:365:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1>’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:64:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:64:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:69:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:69:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:74:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:74:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 2, false>’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:128:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 3, false>’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:136:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 3, false>’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:137:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:152:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../Include/Matrix_Assembler_imp.h:81:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:279:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:142:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from FE_Assemblers_Solvers/Source/FEM_Eval.cpp:16: FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h: In instantiation of ‘SEXPREC* Eval_FEM_time_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; int DEGREE = 1; SEXP = SEXPREC*]’: FE_Assemblers_Solvers/Source/FEM_Eval.cpp:85:51: required from here FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:272:24: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 297 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 297 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 297 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 297 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 297 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 297 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 297 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 297 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 297 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 297 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 297 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 297 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 297 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 297 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for(UInt k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 297 | for(UInt k=0; k, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:280:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:397:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from FE_Assemblers_Solvers/Source/../Include/Evaluator.h:62, from FE_Assemblers_Solvers/Source/FEM_Eval.cpp:14: FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of ‘typename std::enable_if::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if::type = void]’: FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43: required from here FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:52:10: warning: unused variable ‘search’ [-Wunused-variable] 52 | UInt search = mesh_.getSearch(); | ^~~~~~ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’: FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43: required from here FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:85:10: warning: unused variable ‘search’ [-Wunused-variable] 85 | UInt search = mesh_.getSearch(); | ^~~~~~ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of ‘typename std::enable_if::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = true; int ORDER = 2; int mydim = 1; int ndim = 2; typename std::enable_if::type = void]’: FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:43:43: required from here FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:52:10: warning: unused variable ‘search’ [-Wunused-variable] 52 | UInt search = mesh_.getSearch(); | ^~~~~~ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’: FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:43:43: required from here FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:85:10: warning: unused variable ‘search’ [-Wunused-variable] 85 | UInt search = mesh_.getSearch(); | ^~~~~~ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’: FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:45:43: required from here FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:85:10: warning: unused variable ‘search’ [-Wunused-variable] FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’: FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:47:43: required from here FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:85:10: warning: unused variable ‘search’ [-Wunused-variable] FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of ‘typename std::enable_if::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if::type = void]’: FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43: required from here FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:52:10: warning: unused variable ‘search’ [-Wunused-variable] 52 | UInt search = mesh_.getSearch(); | ^~~~~~ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’: FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43: required from here FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:85:10: warning: unused variable ‘search’ [-Wunused-variable] 85 | UInt search = mesh_.getSearch(); | ^~~~~~ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of ‘typename std::enable_if::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = true; int ORDER = 2; int mydim = 2; int ndim = 3; typename std::enable_if::type = void]’: FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:51:43: required from here FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:52:10: warning: unused variable ‘search’ [-Wunused-variable] 52 | UInt search = mesh_.getSearch(); | ^~~~~~ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’: FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:51:43: required from here FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:85:10: warning: unused variable ‘search’ [-Wunused-variable] 85 | UInt search = mesh_.getSearch(); | ^~~~~~ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’: FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:85:10: warning: unused variable ‘search’ [-Wunused-variable] FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h: In instantiation of ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’: FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:55:43: required from here FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:85:10: warning: unused variable ‘search’ [-Wunused-variable] In file included from FE_Assemblers_Solvers/Source/FEM_Eval.cpp:11: FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Spline.h: In instantiation of ‘Real Spline::BasisFunction_impl(UInt, UInt, Real) const [with int DEGREE = 1; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]’: FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Spline.h:40:58: required from ‘Real Spline::BasisFunction(UInt, Real) const [with int DEGREE = 1; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:151:38: required from here FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Spline.h:53:85: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 53 | return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Spline.h:53:39: warning: suggest parentheses around ‘&&’ within ‘||’ [-Wparentheses] 53 | return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2; FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Spline.h: In instantiation of ‘Real Spline::BasisFunction_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]’: FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Spline.h:40:58: required from ‘Real Spline::BasisFunction(UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:162:38: required from here FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Spline.h:53:85: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 53 | return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/Spline.h:53:39: warning: suggest parentheses around ‘&&’ within ‘||’ [-Wparentheses] 53 | return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2; In file included from FE_Assemblers_Solvers/Source/../Include/Projection.h:47, from FE_Assemblers_Solvers/Source/FEM_Eval.cpp:15: FE_Assemblers_Solvers/Source/../Include/Projection_imp.h: In instantiation of ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’: FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:245:49: required from here FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:32:20: warning: unused variable ‘NNODES’ [-Wunused-variable] 32 | constexpr UInt NNODES = how_many_nodes(ORDER,mydim); | ^~~~~~ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h: In instantiation of ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 2; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’: FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:247:49: required from here FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:32:20: warning: unused variable ‘NNODES’ [-Wunused-variable] FE_Assemblers_Solvers/Source/../Include/Projection_imp.h: In instantiation of ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’: FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:32:20: warning: unused variable ‘NNODES’ [-Wunused-variable] FE_Assemblers_Solvers/Source/../Include/Projection_imp.h: In instantiation of ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 2; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’: FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:251:49: required from here FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:32:20: warning: unused variable ‘NNODES’ [-Wunused-variable] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:36:27: required from ‘Real Point::dist2(const Point&) const [with int ndim = 2; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:43:32: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:245:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:387:25: required from ‘Point<2> Element::computeProjection(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:245:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:387:25: required from ‘Point<2> Element::computeProjection(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:245:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:388:13: required from ‘Point<2> Element::computeProjection(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:245:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:36:27: required from ‘Real Point::dist2(const Point&) const [with int ndim = 3; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:43:32: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:248:25: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:248:25: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:248:55: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:249:46: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:262:48: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:350:34: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:411:27: required from ‘Real Element::evaluate_point(const Point<2>&, const Eigen::Matrix&) const [with int NNODES = 2; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:70:55: required from ‘typename std::enable_if::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:350:25: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:411:27: required from ‘Real Element::evaluate_point(const Point<2>&, const Eigen::Matrix&) const [with int NNODES = 2; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:70:55: required from ‘typename std::enable_if::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:31: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55: required from ‘typename std::enable_if<(! isManifold), void>::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = false; int ORDER = 1; int mydim = 2; int ndim = 2; typename std::enable_if<(! isManifold), void>::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:45:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55: required from ‘typename std::enable_if<(! isManifold), void>::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = false; int ORDER = 1; int mydim = 2; int ndim = 2; typename std::enable_if<(! isManifold), void>::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:45:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:190:31: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:299:25: required from ‘Real Element::evaluate_point(const Point<3>&, const Eigen::Matrix&) const [with int NNODES = 3; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:70:55: required from ‘typename std::enable_if::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:190:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:299:25: required from ‘Real Element::evaluate_point(const Point<3>&, const Eigen::Matrix&) const [with int NNODES = 3; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:70:55: required from ‘typename std::enable_if::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:86:34: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:63:35: required from ‘MeshHandler::meshElement MeshHandler::findLocationNaive(const Point&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:25:54: required from ‘typename std::enable_if<(! isManifold), void>::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:86:20: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:63:35: required from ‘MeshHandler::meshElement MeshHandler::findLocationNaive(const Point&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:25:54: required from ‘typename std::enable_if<(! isManifold), void>::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:31: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55: required from ‘typename std::enable_if<(! isManifold), void>::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55: required from ‘typename std::enable_if<(! isManifold), void>::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:36:58: required from ‘Real Point::dist2(const Point&) const [with int ndim = 2; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:43:32: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:245:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:36:58: required from ‘Real Point::dist2(const Point&) const [with int ndim = 3; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:43:32: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, 2, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, 2, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, 2, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, 2, 1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, 2, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, 2, 1, false>, 0>’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:10: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:37: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:67: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, 1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, 1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, 1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, 1, 1, false>, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, 1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, 1, 1, false>, 0>’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:17: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39: required from ‘SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:44: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39: required from ‘SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:74: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39: required from ‘SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:336:21: required from ‘void Element::computeProperties() [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:341:59: required from ‘void Element::computeProperties() [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:187:1: required from ‘const Eigen::ArrayBase > >::RCmpLEReturnType Eigen::operator<=(const ArrayBase > >::Scalar&, const ArrayBase > >&)’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:86:20: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:63:35: required from ‘MeshHandler::meshElement MeshHandler::findLocationNaive(const Point&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:25:54: required from ‘typename std::enable_if<(! isManifold), void>::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = false; int ORDER = 1; int mydim = 2; int ndim = 2; typename std::enable_if<(! isManifold), void>::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:45:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:58:12: required from ‘void Element::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:45:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:63:24: required from ‘void Element::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:45:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:56: required from ‘void Element::computeProperties() [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:187:1: required from ‘const Eigen::ArrayBase > >::RCmpLEReturnType Eigen::operator<=(const ArrayBase > >::Scalar&, const ArrayBase > >&)’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:86:20: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:63:35: required from ‘MeshHandler::meshElement MeshHandler::findLocationNaive(const Point&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:25:54: required from ‘typename std::enable_if<(! isManifold), void>::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:58:12: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:63:24: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:196:1: required from ‘const Eigen::ArrayBase::RCmpLTReturnType Eigen::ArrayBase::operator>(const Scalar&) const [with Derived = Eigen::ArrayWrapper >; RCmpLTReturnType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >; Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:365:29: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39: required from ‘SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39: required from ‘SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/OrthoMethods.h:42:51: required from ‘typename Eigen::MatrixBase::cross_product_return_type::type Eigen::MatrixBase::cross(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 3, 1, true>; Derived = Eigen::Block, 3, 1, true>; typename cross_product_return_type::type = Eigen::Matrix]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:183:42: required from ‘void Element::computeProperties() [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:110:26: required from ‘Real Element::evaluate_point(const Eigen::Matrix&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:24: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55: required from ‘typename std::enable_if<(! isManifold), void>::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:344:32: required from ‘void Element::computeProperties() [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:183:60: required from ‘void Element::computeProperties() [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, 1, 1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, 1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, 1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, 1, 1, false>, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, 1, 1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:654:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39: required from ‘SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ FE_Assemblers_Solvers/Source/../Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:341:23: required from ‘void Element::computeProperties() [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:336:25: required from ‘void Element::computeProperties() [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:58:16: required from ‘void Element::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:45:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:58:16: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:172:52: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:158:34: required from ‘void Eigen::internal::compute_inverse_size3_helper(const MatrixType&, const typename ResultType::Scalar&, const Eigen::Matrix&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; typename ResultType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:174:33: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39: required from ‘SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39: required from ‘SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false>, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false>, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false>, 1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39: required from ‘SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, 1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:40: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39: required from ‘SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39: required from ‘SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false>, 1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false>, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:230:29: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:193:16: required from ‘MeshHandler::meshElement MeshHandler::findLocation(const Point<2>&) const [with int ORDER = 1; meshElement = Element<2, 1, 2>]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:336:39: required from ‘SEXPREC* points_search_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:263:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 3, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, 3, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, 3, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:350:25: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:411:27: required from ‘Real Element::evaluate_point(const Point<2>&, const Eigen::Matrix&) const [with int NNODES = 2; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:70:55: required from ‘typename std::enable_if::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:350:25: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:411:27: required from ‘Real Element::evaluate_point(const Point<2>&, const Eigen::Matrix&) const [with int NNODES = 2; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:70:55: required from ‘typename std::enable_if::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = true; int ORDER = 1; int mydim = 1; int ndim = 2; typename std::enable_if::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55: required from ‘typename std::enable_if<(! isManifold), void>::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = false; int ORDER = 1; int mydim = 2; int ndim = 2; typename std::enable_if<(! isManifold), void>::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:45:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:190:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:299:25: required from ‘Real Element::evaluate_point(const Point<3>&, const Eigen::Matrix&) const [with int NNODES = 3; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:70:55: required from ‘typename std::enable_if::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55: required from ‘typename std::enable_if<(! isManifold), void>::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, 2, 1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, 2, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, 2, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, 2, 1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, 2, 1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:341:23: required from ‘void Element::computeProperties() [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:341:23: required from ‘void Element::computeProperties() [with int NNODES = 2]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:41:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 2, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, Eigen::Block, 2, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, 2, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Block, 2, 1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Block, 2, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55: required from ‘typename std::enable_if<(! isManifold), void>::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55: required from ‘typename std::enable_if<(! isManifold), void>::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55: required from ‘typename std::enable_if<(! isManifold), void>::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55: required from ‘typename std::enable_if<(! isManifold), void>::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 3, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55: required from ‘typename std::enable_if<(! isManifold), void>::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:36:55: required from ‘typename std::enable_if<(! isManifold), void>::type Evaluator::eval(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&) [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), void>::type = void]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:150:27: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:53:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, 2, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 3, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 3, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 3, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:267:5: required from ‘Point<3> Element::computeProjection(const Point<3>&) const [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:53:72: required from ‘typename std::enable_if > >::type projection::computeProjection() [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if > >::type = std::vector, std::allocator > >]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:95:47: required from ‘SEXPREC* points_projection_skeleton(SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:249:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 3, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 3, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FE_Assemblers_Solvers/Source/../Include/Evaluator_imp.h:93:43: required from ‘void Evaluator::evalWithInfo(const RNumericMatrix&, const RNumericMatrix&, bool, RNumericMatrix&, std::vector&, const RIntegerMatrix&, const RNumericMatrix&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FE_Assemblers_Solvers/Source/../Include/FE_Skeleton.h:152:35: required from ‘SEXPREC* Eval_FEM_fd_skeleton(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ FE_Assemblers_Solvers/Source/FEM_Eval.cpp:49:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from FE_Assemblers_Solvers/Source/../../FdaPDE.h:50: In member function ‘RNumericMatrix::operator()(int, int) const’, inlined from ‘Point<2>::Point(int, RNumericMatrix const&)’ at FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:29:23, inlined from ‘MeshHandler<2, 1, 2>::getPoint(int) const’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:164:32, inlined from ‘projection<2, 1, 2>::computeProjection()std::enable_if, std::allocator > > >::type’ at FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:49:37: FE_Assemblers_Solvers/Source/../../Global_Utilities/Include/RObjects.h:17:69: warning: ‘pos_min’ may be used uninitialized [-Wmaybe-uninitialized] 17 | const Real& operator()(UInt i, UInt j) const {return matr_[i+nrows_*j];} | ~^~~~~~~~~ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h: In member function ‘projection<2, 1, 2>::computeProjection()std::enable_if, std::allocator > > >::type’: FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:39:14: note: ‘pos_min’ was declared here 39 | UInt pos_min; | ^~~~~~~ In member function ‘RNumericMatrix::operator()(int, int) const’, inlined from ‘Point<2>::Point(int, RNumericMatrix const&)’ at FE_Assemblers_Solvers/Source/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:29:23, inlined from ‘MeshHandler<1, 1, 2>::getPoint(int) const’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_imp.h:164:32, inlined from ‘projection<1, 1, 2>::computeProjection()std::enable_if, std::allocator > > >::type’ at FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:49:37: FE_Assemblers_Solvers/Source/../../Global_Utilities/Include/RObjects.h:17:69: warning: ‘pos_min’ may be used uninitialized [-Wmaybe-uninitialized] 17 | const Real& operator()(UInt i, UInt j) const {return matr_[i+nrows_*j];} | ~^~~~~~~~~ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h: In member function ‘projection<1, 1, 2>::computeProjection()std::enable_if, std::allocator > > >::type’: FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:39:14: note: ‘pos_min’ was declared here 39 | UInt pos_min; | ^~~~~~~ FE_Assemblers_Solvers/Source/../Include/Projection_imp.h: In member function ‘projection<1, 2, 3>::computeProjection()std::enable_if, std::allocator > > >::type’: FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:39:14: warning: ‘pos_min’ may be used uninitialized [-Wmaybe-uninitialized] FE_Assemblers_Solvers/Source/../Include/Projection_imp.h: In member function ‘projection<2, 2, 3>::computeProjection()std::enable_if, std::allocator > > >::type’: FE_Assemblers_Solvers/Source/../Include/Projection_imp.h:39:14: warning: ‘pos_min’ may be used uninitialized [-Wmaybe-uninitialized] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:294: In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<6, 2, 2>::Element(Element<6, 2, 2> const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 160].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree.h:122, from FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh.h:12, from FE_Assemblers_Solvers/Source/FEM_Eval.cpp:13: FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<6, 2, 2>::Element(Element<6, 2, 2> const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 192].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<3, 2, 2>::Element(Element<3, 2, 2> const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 80].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<3, 2, 2>::Element(Element<3, 2, 2> const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 112].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Element<3, 2, 2>::Element(Element<3, 2, 2> const&)’, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21: FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:57:7: warning: ‘MEM[(const struct Element &)&obj].element_measure’ may be used uninitialized [-Wmaybe-uninitialized] 57 | class Element : public Identifier { | ^~~~~~~ FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<3, 2, 3>::Element(Element<3, 2, 3> const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 112].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<3, 2, 3>::Element(Element<3, 2, 3> const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 160].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Element<3, 2, 3>::Element(Element<3, 2, 3> const&)’, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21: FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:168:7: warning: ‘MEM[(const struct Element &)&obj].element_measure’ may be used uninitialized [-Wmaybe-uninitialized] 168 | class Element : public Identifier { | ^~~~~~~~~~~~~~~~~~~~~ FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<4, 3, 3>::Element(Element<4, 3, 3> const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 136].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<4, 3, 3>::Element(Element<4, 3, 3> const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 208].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<6, 2, 3>::Element(Element<6, 2, 3> const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 208].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<6, 2, 3>::Element(Element<6, 2, 3> const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 256].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<10, 3, 3>::Element(Element<10, 3, 3> const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 328].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<10, 3, 3>::Element(Element<10, 3, 3> const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 400].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FE_Assemblers_Solvers/Source/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c FE_Assemblers_Solvers/Source/Integration.cpp -o FE_Assemblers_Solvers/Source/Integration.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from FE_Assemblers_Solvers/Source/../Include/../../FdaPDE.h:32, from FE_Assemblers_Solvers/Source/../Include/Integration.h:6, from FE_Assemblers_Solvers/Source/Integration.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from FE_Assemblers_Solvers/Source/../Include/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ FE_Assemblers_Solvers/Source/../Include/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/../Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c FE_Assemblers_Solvers/Source/Kronecker_Product.cpp -o FE_Assemblers_Solvers/Source/Kronecker_Product.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from FE_Assemblers_Solvers/Source/../Include/../../FdaPDE.h:32, from FE_Assemblers_Solvers/Source/../Include/Kronecker_Product.h:4, from FE_Assemblers_Solvers/Source/Kronecker_Product.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from FE_Assemblers_Solvers/Source/../Include/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ FE_Assemblers_Solvers/Source/../Include/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7: required from ‘class Eigen::MappedSparseMatrix’ FE_Assemblers_Solvers/Source/Kronecker_Product.cpp:103:61: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/Kronecker_Product.cpp:113:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FE_Assemblers_Solvers/Source/Kronecker_Product.cpp:113:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ FE_Assemblers_Solvers/Source/Kronecker_Product.cpp:104:14: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ FE_Assemblers_Solvers/Source/Kronecker_Product.cpp:104:14: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c FPCA/Source/FPCA_Data.cpp -o FPCA/Source/FPCA_Data.o In file included from FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:362, from FPCA/Source/../Include/FPCA_Data.h:5, from FPCA/Source/FPCA_Data.cpp:1: FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment] 223 | // | \ | ^ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment] 226 | // | \ | ^ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment] 231 | // | \ | ^ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment] 233 | // | \ | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from FPCA/Source/../Include/../../FdaPDE.h:32, from FPCA/Source/../Include/FPCA_Data.h:4: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from FPCA/Source/../Include/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ FPCA/Source/../Include/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:248:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:349:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:349:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:351:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<6, 2, 2>’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:117:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:119:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:180:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:180:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:180:73: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 1, true>’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:183:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:205:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:205:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 2>’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:206:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:341:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:341:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:341:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:365:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:365:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1>’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:366:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/FPCA_Data.h:20:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/FPCA_Data.h:20:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/FPCA_Data.cpp:77:11: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ FPCA/Source/FPCA_Data.cpp:97:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:280:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:397:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:16: required from ‘static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:384:60: required from ‘void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:412:25: required from ‘void Eigen::PlainObjectBase::conservativeResize(Eigen::NoChange_t, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ FPCA/Source/FPCA_Data.cpp:99:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Matrix; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, -1, false>]’ FPCA/Source/FPCA_Data.cpp:97:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::Matrix; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Matrix; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Matrix; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, -1, false>]’ FPCA/Source/FPCA_Data.cpp:97:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:57:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:161:5: required from ‘Eigen::BlockImpl& Eigen::BlockImpl::operator=(const Eigen::BlockImpl&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:46: required from ‘static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:384:60: required from ‘void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:412:25: required from ‘void Eigen::PlainObjectBase::conservativeResize(Eigen::NoChange_t, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ FPCA/Source/FPCA_Data.cpp:99:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c FPCA/Source/FPCA_Object.cpp -o FPCA/Source/FPCA_Object.o In file included from FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:362, from FPCA/Source/../Include/FPCA_Object.h:5, from FPCA/Source/FPCA_Object.cpp:1: FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment] 223 | // | \ | ^ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment] 226 | // | \ | ^ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment] 231 | // | \ | ^ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment] 233 | // | \ | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from FPCA/Source/../Include/../../FdaPDE.h:32, from FPCA/Source/../Include/FPCA_Object.h:4: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from FPCA/Source/../Include/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ FPCA/Source/../Include/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:248:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:349:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:349:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:351:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<6, 2, 2>’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:117:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:119:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:180:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:180:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:180:73: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 1, true>’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:183:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:205:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:205:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 2>’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:206:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:341:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:341:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:341:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:365:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:365:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1>’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:366:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/FPCA_Object.h:20:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/FPCA_Object.h:20:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/SVDBase.h:71:39: required from ‘class Eigen::SVDBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:488:60: required from ‘class Eigen::JacobiSVD >’ FPCA/Source/FPCA_Object.cpp:7:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19: required from ‘class Eigen::ColPivHouseholderQR >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:246:10: required from ‘struct Eigen::internal::qr_preconditioner_impl, 2, 0, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:609:110: required from ‘class Eigen::JacobiSVD >’ FPCA/Source/FPCA_Object.cpp:7:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ FPCA/Source/FPCA_Object.cpp:9:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ FPCA/Source/FPCA_Object.cpp:46:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ FPCA/Source/FPCA_Object.cpp:47:31: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ FPCA/Source/FPCA_Object.cpp:47:31: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/FPCA_Object.cpp:57:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ FPCA/Source/FPCA_Object.cpp:57:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ FPCA/Source/FPCA_Object.cpp:63:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 0>’ FPCA/Source/FPCA_Object.cpp:63:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] FPCA/Source/FPCA_Object.cpp: In member function ‘void FPCAObject::setLoadings(UInt, const VectorXr&, const std::vector&)’: FPCA/Source/FPCA_Object.cpp:72:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 72 | for(auto i=0;i, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ FPCA/Source/FPCA_Object.cpp:77:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ FPCA/Source/FPCA_Object.cpp: In member function ‘void FPCAObject::finalizeLoadings(const std::vector&, UInt)’: FPCA/Source/FPCA_Object.cpp:78:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 78 | for(auto i=0;i, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:280:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:397:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:679:37: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:32: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:60: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, const Eigen::Matrix >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:705:61: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:758:35: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:765:62: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:777:65: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/FPCA_Object.cpp:47:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:345:58: required from ‘class Eigen::TriangularViewImpl, -1, -1, false> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, -1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:231:121: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:733:40: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:297:21: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:303:34: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:59: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:310:26: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 2, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, -1, false>; VectorY = Eigen::Block, 1, -1, false>; OtherScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:733:40: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, 1, true>; VectorY = Eigen::Block, -1, 1, true>; OtherScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:734:53: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:165:63: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:82: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:90:75: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:93: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:63: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:892:21: required from ‘Derived& Eigen::MatrixBase::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:698:45: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, 2, false>; VectorY = Eigen::Block, 1, 2, false>; OtherScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:777:88: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:679:71: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:406:42: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setConstant(const Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 10; TriangularViewType = Eigen::TriangularView, 10>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:409:44: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setZero() [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 10; TriangularViewType = Eigen::TriangularView, 10>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:298:61: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/FPCA_Object.cpp:47:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/FPCA_Object.cpp:71:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/FPCA_Object.cpp:9:31: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseUtil.h:121:8: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:187:104: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::Block, -1, 1, false>; int ProductType = 7; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/FPCA_Object.cpp:63:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:18: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29: required from ‘struct Eigen::internal::product_triangular_matrix_matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/FPCA_Object.cpp:46:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/FPCA_Object.cpp:46:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/FPCA_Object.cpp:57:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/FPCA_Object.cpp:57:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/FPCA_Object.cpp:46:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/FPCA_Object.cpp:46:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/FPCA_Object.cpp:57:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/FPCA_Object.cpp:57:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/FPCA_Object.cpp:46:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/FPCA_Object.cpp:46:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/FPCA_Object.cpp:57:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/FPCA_Object.cpp:57:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ FPCA/Source/FPCA_Object.cpp:7:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:341: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘Eigen::internal::trmv_selector<6, 1>::run, -1, -1, false> const, -1, -1, false> const>, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const>, Eigen::Transpose, 1, -1, true>, 1, -1, false> > >(Eigen::Transpose, -1, -1, false> const, -1, -1, false> const> const&, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const> const&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >::Scalar const&)void [clone .isra.0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result_43’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double *’ to ‘Eigen::internal::triangular_matrix_vector_product::run(long, long, double const*, long, double const*, long, double*, long, double const&)’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c FPCA/Source/Mixed_FE_FPCA.cpp -o FPCA/Source/Mixed_FE_FPCA.o In file included from FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:362, from FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:6, from FPCA/Source/../Include/Mixed_FE_FPCA.h:5, from FPCA/Source/Mixed_FE_FPCA.cpp:1: FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment] 223 | // | \ | ^ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment] 226 | // | \ | ^ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment] 231 | // | \ | ^ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment] 233 | // | \ | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from FPCA/Source/../Include/../../FdaPDE.h:32, from FPCA/Source/../Include/Mixed_FE_FPCA.h:4: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from FPCA/Source/../Include/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ FPCA/Source/../Include/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:248:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:351:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<6, 2, 2>’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:117:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:119:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:73: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 1, true>’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:183:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 2>’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1>’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 2, false>’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 3, false>’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 3, false>’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:152:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:81:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:75: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19: required from ‘class Eigen::HouseholderQR >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:97: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:96: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7: required from ‘class Eigen::MappedSparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:477:54: required from ‘class Eigen::SparseLU >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:53:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::COLAMDOrdering >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:37:41: required from ‘struct Eigen::internal::is_ref_compatible_impl >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:43:81: required from ‘struct Eigen::internal::is_ref_compatible >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:46:49: required from ‘class Eigen::IterativeSolverBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7: required from ‘class Eigen::ConjugateGradient >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:116:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:191:16: required from ‘class Eigen::IncompleteLUT’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:431:18: required from ‘class Eigen::IterativeSolverBase, Eigen::IncompleteLUT > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:158:7: required from ‘class Eigen::BiCGSTAB, Eigen::IncompleteLUT >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:160:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::IncompleteLUT >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::IncompleteLUT >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::IncompleteLUT >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::IncompleteLUT >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/Mixed_FE_FPCA.cpp:44:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:44:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ FPCA/Source/Mixed_FE_FPCA.cpp:44:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ FPCA/Source/Mixed_FE_FPCA.cpp:46:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ FPCA/Source/Mixed_FE_FPCA.cpp:71:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:84:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:88:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] FPCA/Source/Mixed_FE_FPCA.cpp: In member function ‘void MixedFEFPCABase::computeVarianceExplained()’: FPCA/Source/Mixed_FE_FPCA.cpp:96:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 96 | for(UInt i=0;i, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ FPCA/Source/Mixed_FE_FPCA.cpp:97:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ FPCA/Source/Mixed_FE_FPCA.cpp:101:23: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 101 | for(UInt i=0;i, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:102:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0> >’ FPCA/Source/Mixed_FE_FPCA.cpp:102:61: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, Eigen::Transpose, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, Eigen::Transpose, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, Eigen::Transpose, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, Eigen::Transpose, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, Eigen::Transpose, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, Eigen::Transpose, 0> >, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:102:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, Eigen::Transpose, 0> >, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, Eigen::Transpose, 0> >, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, Eigen::Transpose, 0> >, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>, Eigen::Transpose, 0> >, 0>, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:102:73: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:106:24: required from ‘class Eigen::BDCSVD >’ FPCA/Source/Mixed_FE_FPCA.cpp:107:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ FPCA/Source/Mixed_FE_FPCA.cpp:110:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:110:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ FPCA/Source/Mixed_FE_FPCA.cpp:110:70: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ FPCA/Source/Mixed_FE_FPCA.cpp:110:70: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >’ FPCA/Source/Mixed_FE_FPCA.cpp:110:113: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::SparseMatrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true> >, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:110:116: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, true>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, true>, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:110:141: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ FPCA/Source/Mixed_FE_FPCA.cpp:110:223: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/Mixed_FE_FPCA.cpp:112:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:112:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34: required from ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ FPCA/Source/Mixed_FE_FPCA.cpp:124:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ FPCA/Source/Mixed_FE_FPCA.cpp:124:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ FPCA/Source/Mixed_FE_FPCA.cpp:141:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:104:7: required from ‘class Eigen::SolveImpl >, Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::SparseMatrix >’ FPCA/Source/Mixed_FE_FPCA.cpp:191:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Solve >, Eigen::SparseMatrix >, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Solve >, Eigen::SparseMatrix >, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>’ FPCA/Source/Mixed_FE_FPCA.cpp:192:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ FPCA/Source/Mixed_FE_FPCA.cpp:195:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ FPCA/Source/Mixed_FE_FPCA.cpp:195:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ FPCA/Source/Mixed_FE_FPCA.cpp:203:21: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ FPCA/Source/Mixed_FE_FPCA.cpp:205:9: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, -1, 1, false>’ FPCA/Source/Mixed_FE_FPCA.cpp:205:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, -1, 1, false>’ FPCA/Source/Mixed_FE_FPCA.cpp:205:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ FPCA/Source/Mixed_FE_FPCA.cpp:206:20: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] FPCA/Source/Mixed_FE_FPCA.cpp: In member function ‘void MixedFEFPCAGCV::computeDegreesOfFreedomExact(UInt, Real)’: FPCA/Source/Mixed_FE_FPCA.cpp:207:36: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < k.size(); ++i) { | ~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ FPCA/Source/Mixed_FE_FPCA.cpp:247:11: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:247:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ FPCA/Source/Mixed_FE_FPCA.cpp:252:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:253:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix >, -1, 1, true>’ FPCA/Source/Mixed_FE_FPCA.cpp:260:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix >, -1, 1, true>, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix >, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, Eigen::Matrix >, -1, 1, true>, -1>’ FPCA/Source/Mixed_FE_FPCA.cpp:260:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] FPCA/Source/Mixed_FE_FPCA.cpp: In member function ‘void MixedFEFPCAGCV::computeGCV(FPCAObject&, UInt)’: FPCA/Source/Mixed_FE_FPCA.cpp:280:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 280 | for(auto i=0;ifpcaData_.getObservationsIndices().size();i++) | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ FPCA/Source/Mixed_FE_FPCA.cpp:286:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >’ FPCA/Source/Mixed_FE_FPCA.cpp:286:60: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:286:92: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] FPCA/Source/Mixed_FE_FPCA.cpp: In member function ‘void MixedFEFPCAGCV::computeIterationsGCV(MatrixXr&, UInt, UInt)’: FPCA/Source/Mixed_FE_FPCA.cpp:307:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 307 | for (auto i=0; ifpcaData_.getLambda().size(); ++i) | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/Mixed_FE_FPCA.cpp:367:111: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:367:112: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> >’ FPCA/Source/Mixed_FE_FPCA.cpp:367:112: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:374:69: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:374:97: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ FPCA/Source/Mixed_FE_FPCA.cpp:376:50: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ FPCA/Source/Mixed_FE_FPCA.cpp:378:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ FPCA/Source/Mixed_FE_FPCA.cpp:415:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 2>, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 2>, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 2>, -1, -1, false>’ FPCA/Source/Mixed_FE_FPCA.cpp:415:75: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ FPCA/Source/Mixed_FE_FPCA.cpp:418:59: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ FPCA/Source/Mixed_FE_FPCA.cpp:418:59: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ FPCA/Source/Mixed_FE_FPCA.cpp:418:59: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ FPCA/Source/Mixed_FE_FPCA.cpp:456:130: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >’ FPCA/Source/Mixed_FE_FPCA.cpp:456:131: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:456:139: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, false>, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:456:192: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:457:57: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ FPCA/Source/Mixed_FE_FPCA.cpp:457:60: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/Mixed_FE_FPCA.cpp:459:72: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ FPCA/Source/Mixed_FE_FPCA.cpp:459:73: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> >’ FPCA/Source/Mixed_FE_FPCA.cpp:459:73: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> >’ FPCA/Source/Mixed_FE_FPCA.cpp:461:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ FPCA/Source/Mixed_FE_FPCA.cpp:491:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] FPCA/Source/Mixed_FE_FPCA.cpp: In member function ‘virtual void MixedFEFPCAKFold::apply()’: FPCA/Source/Mixed_FE_FPCA.cpp:531:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 531 | for(auto i = 0; ifpcaData_.getLambda().size(); ++i) | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, Eigen::Matrix, 0>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:112:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:493:54: required from ‘struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::internal::IndexBased, Eigen::internal::IteratorBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:343:8: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::internal::IndexBased, Eigen::internal::IteratorBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ FPCA/Source/Mixed_FE_FPCA.cpp:124:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:456:57: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:459:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:461:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:280:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:397:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:77: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::PermutationMatrix<-1, -1, int>, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::PermutationMatrix<-1, -1, int>, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::PermutationMatrix<-1, -1, int>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:17: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, Eigen::Transpose, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, Eigen::Transpose, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, Eigen::Transpose, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, Eigen::Transpose, 0> >, 1, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, Eigen::Transpose, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, Eigen::Transpose, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1613:41: required from ‘struct Eigen::internal::evaluator, 0>, Eigen::Transpose, 0> >, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator, 0>, Eigen::Transpose, 0> >, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Diagonal, 0>, Eigen::Transpose, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator[](Eigen::Index) const [with Derived = Eigen::Diagonal, 0>, Eigen::Transpose, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ FPCA/Source/Mixed_FE_FPCA.cpp:102:77: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, Eigen::Transpose, 0> >, 1>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, Eigen::Transpose, 0> >, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, Eigen::Transpose, 0> >, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>, Eigen::Transpose, 0> >, 1>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator, 0>, Eigen::Transpose, 0> >, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator, 0>, Eigen::Transpose, 0> >, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Diagonal, 0>, Eigen::Transpose, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator[](Eigen::Index) const [with Derived = Eigen::Diagonal, 0>, Eigen::Transpose, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ FPCA/Source/Mixed_FE_FPCA.cpp:102:77: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:272:37: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:281:43: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:281:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:281:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:282:35: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:41:15: required from ‘class Eigen::internal::UpperBidiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BandMatrix.h:230:22: required from ‘class Eigen::internal::BandMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:86:20: required from ‘class Eigen::internal::UpperBidiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:141:7: required from ‘class Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:44: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 16, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:105:51: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:139:25: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:55: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:53: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:22: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:43: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:196:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:196:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 0, Eigen::OuterStride<> >, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:230:68: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:233:58: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ FPCA/Source/Mixed_FE_FPCA.cpp:33:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:73:15: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; Rhs = Eigen::SparseMatrix; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; Rhs = Eigen::SparseMatrix; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; Rhs = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ FPCA/Source/Mixed_FE_FPCA.cpp:44:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:437:72: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:442:34: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:442:81: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:502:60: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:506:122: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:535:78: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:569:47: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:569:47: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:40: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:56: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:583:70: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase >::CastXpr’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase >::CastXpr::Type Eigen::DenseBase >::cast() const [with NewType = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:339:83: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:339:99: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator >, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:112:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, Eigen::Matrix, 1>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator >, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:112:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:166: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:148:65: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:25: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:78: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:70:52: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:196:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:196:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:196:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:196:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:196:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:196:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:196:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:196:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:79:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:87:15: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:85: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:229:47: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:12: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:20: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:295:26: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:90:75: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, -1, -1, false> >, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:93: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:63: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0>, 1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Diagonal, 0>; Rhs = Eigen::Transpose, 0> >; int ProductTag = 5; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Diagonal, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1638:27: required from ‘Eigen::internal::evaluator >::CoeffReturnType Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::Product, 0>, Eigen::Transpose, 0> >, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:59: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Diagonal, 0>, Eigen::Transpose, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator[](Eigen::Index) const [with Derived = Eigen::Diagonal, 0>, Eigen::Transpose, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ FPCA/Source/Mixed_FE_FPCA.cpp:102:77: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Diagonal, 0>; Rhs = Eigen::Transpose, 0> >; int ProductTag = 5; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Diagonal, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1638:27: required from ‘Eigen::internal::evaluator >::CoeffReturnType Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::Product, 0>, Eigen::Transpose, 0> >, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:59: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Diagonal, 0>, Eigen::Transpose, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator[](Eigen::Index) const [with Derived = Eigen::Diagonal, 0>, Eigen::Transpose, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ FPCA/Source/Mixed_FE_FPCA.cpp:102:77: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0> >, 1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:63: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Diagonal, 0>; Rhs = Eigen::Transpose, 0> >; int ProductTag = 5; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Diagonal, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1638:27: required from ‘Eigen::internal::evaluator >::CoeffReturnType Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::Product, 0>, Eigen::Transpose, 0> >, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:59: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Diagonal, 0>, Eigen::Transpose, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator[](Eigen::Index) const [with Derived = Eigen::Diagonal, 0>, Eigen::Transpose, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ FPCA/Source/Mixed_FE_FPCA.cpp:102:77: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0>, 1, 1, false> >, const Eigen::Block, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0>, 1, 1, false> >, const Eigen::Block, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0>, 1, 1, false> >, const Eigen::Block, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0>, 1, 1, false> >, const Eigen::Block, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0>, 1, 1, false> >, const Eigen::Block, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Diagonal, 0>; Rhs = Eigen::Transpose, 0> >; int ProductTag = 5; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Diagonal, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1638:27: required from ‘Eigen::internal::evaluator >::CoeffReturnType Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::Product, 0>, Eigen::Transpose, 0> >, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:59: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Diagonal, 0>, Eigen::Transpose, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator[](Eigen::Index) const [with Derived = Eigen::Diagonal, 0>, Eigen::Transpose, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ FPCA/Source/Mixed_FE_FPCA.cpp:102:77: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:60: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, const Eigen::Matrix >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:705:61: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:765:62: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BandMatrix.h:138:32: required from ‘void Eigen::internal::BandMatrixBase::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::internal::BandMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BandMatrix.h:148:13: required from ‘Eigen::internal::BandMatrixBase::DenseMatrixType Eigen::internal::BandMatrixBase::toDenseMatrix() const [with Derived = Eigen::internal::BandMatrix; DenseMatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:292:66: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16777215>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16777215>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16777215>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16777215> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16777215> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 16777215>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BandMatrix.h:140:21: required from ‘void Eigen::internal::BandMatrixBase::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::internal::BandMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BandMatrix.h:148:13: required from ‘Eigen::internal::BandMatrixBase::DenseMatrixType Eigen::internal::BandMatrixBase::toDenseMatrix() const [with Derived = Eigen::internal::BandMatrix; DenseMatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:292:66: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:293:46: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0>, -1, 1, false>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1191:33: required from ‘void Eigen::BDCSVD::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1191:73: required from ‘void Eigen::BDCSVD::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1193:117: required from ‘void Eigen::BDCSVD::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, false>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1246:38: required from ‘void Eigen::BDCSVD::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1246:54: required from ‘void Eigen::BDCSVD::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:599:12: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:599:12: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:599:12: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:600:19: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:601:12: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:625:16: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:368:19: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:375:35: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:377:15: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:378:15: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:45: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:62: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:50: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:394:27: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:22: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, Eigen::SparseMatrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >, Eigen::SparseMatrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >, Eigen::SparseMatrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:110:143: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:110:143: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:115:7: required from ‘const Eigen::MapBase::Scalar& Eigen::MapBase::coeff(Eigen::Index) const [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:116:28: required from ‘static void Eigen::internal::LU_kernel_bmod<1>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:106:31: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:196:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:196:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:196:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, -1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>]’ FPCA/Source/Mixed_FE_FPCA.cpp:205:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1117:122: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator >, Eigen::Matrix >, -1, 1, true>, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:264:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:286:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:286:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:374:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:374:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, false>; int Option = 0; Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:456:192: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, false>; int Option = 0; Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:456:192: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparsePermutation.h:48:90: required from ‘static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix; int Side = 2; bool Transposed = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1073:73: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::PermutationMatrix<-1, -1, int>; int ProductTag = 8; MatrixShape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::PermutationMatrix<-1, -1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:9: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:30:18: required from ‘void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42: required from ‘void Eigen::AMDOrdering::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from ‘void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLDLT >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7: required from ‘void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = true; Derived = Eigen::SimplicialLDLT >; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:471:35: required from ‘Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:96:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 1; _StorageIndex = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:73:15: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::SparseShape) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; Rhs = Eigen::SparseMatrix; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; Rhs = Eigen::SparseMatrix; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 0>; Rhs = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ FPCA/Source/Mixed_FE_FPCA.cpp:44:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:45:80: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:128:82: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:20: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:28: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:70: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:78: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:84: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:231:121: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:339:81: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1246:74: required from ‘void Eigen::BDCSVD::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:768:46: required from ‘void Eigen::BDCSVD::computeSingVals(const ArrayRef&, const ArrayRef&, const IndicesRef&, VectorType&, ArrayRef, ArrayRef) [with _MatrixType = Eigen::Matrix; ArrayRef = Eigen::Ref, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref >; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:636:3: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:804:24: required from ‘void Eigen::BDCSVD::computeSingVals(const ArrayRef&, const ArrayRef&, const IndicesRef&, VectorType&, ArrayRef, ArrayRef) [with _MatrixType = Eigen::Matrix; ArrayRef = Eigen::Ref, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref >; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:636:3: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:804:24: required from ‘void Eigen::BDCSVD::computeSingVals(const ArrayRef&, const ArrayRef&, const IndicesRef&, VectorType&, ArrayRef, ArrayRef) [with _MatrixType = Eigen::Matrix; ArrayRef = Eigen::Ref, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref >; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:636:3: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:146:13: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, -1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, -1, true>, 2>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, -1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, -1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:63:52: required from ‘class Eigen::Reverse, -1, 1, false>, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:146:48: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:361: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h: In instantiation of ‘class Eigen::Reverse, -1, 1, false>, -1, -1, true>, 2>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:146:48: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument ‘Eigen::MatrixBase, -1, 1, false>, -1, -1, true>, 2> >::PacketScalar’ {aka ‘__m128d’} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:150:10: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:150:21: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:63:52: required from ‘class Eigen::Reverse, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:150:63: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h: In instantiation of ‘class Eigen::Reverse, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:150:63: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument ‘Eigen::MatrixBase, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2> >::PacketScalar’ {aka ‘__m128d’} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:156:12: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:63:52: required from ‘class Eigen::Reverse, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:156:48: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h: In instantiation of ‘class Eigen::Reverse, -1, 1, false>, -1, 1, false>, 2>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:156:48: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument ‘Eigen::MatrixBase, -1, 1, false>, -1, 1, false>, 2> >::PacketScalar’ {aka ‘__m128d’} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:160:10: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, 1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, 1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:160:21: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:63:52: required from ‘class Eigen::Reverse, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:160:63: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h: In instantiation of ‘class Eigen::Reverse, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:160:63: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument ‘Eigen::MatrixBase, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2> >::PacketScalar’ {aka ‘__m128d’} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:108:50: required from ‘bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:375:54: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:108:50: required from ‘bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:375:54: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:390:110: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:55: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:55: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:456:57: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:459:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Transpose >, 0> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:461:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0>, 1, 1, false> >, const Eigen::Block, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0>, 1, 1, false> >, const Eigen::Block, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Diagonal, 0>; Rhs = Eigen::Transpose, 0> >; int ProductTag = 5; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Diagonal, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1638:27: required from ‘Eigen::internal::evaluator >::CoeffReturnType Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::Product, 0>, Eigen::Transpose, 0> >, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:59: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Diagonal, 0>, Eigen::Transpose, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator[](Eigen::Index) const [with Derived = Eigen::Diagonal, 0>, Eigen::Transpose, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ FPCA/Source/Mixed_FE_FPCA.cpp:102:77: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0>, 1, 1, false> >, const Eigen::Block, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0>, 1, 1, false> >, const Eigen::Block, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0>, 1, 1, false> >, const Eigen::Block, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0>, 1, 1, false> >, const Eigen::Block, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0>, 1, 1, false> >, const Eigen::Block, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Diagonal, 0>; Rhs = Eigen::Transpose, 0> >; int ProductTag = 5; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Diagonal, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1638:27: required from ‘Eigen::internal::evaluator >::CoeffReturnType Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::Product, 0>, Eigen::Transpose, 0> >, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:59: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Diagonal, 0>, Eigen::Transpose, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator[](Eigen::Index) const [with Derived = Eigen::Diagonal, 0>, Eigen::Transpose, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ FPCA/Source/Mixed_FE_FPCA.cpp:102:77: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:272:71: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, 1, -1, false>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:339:92: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:182:16: required from ‘void Eigen::internal::upperbidiagonalization_blocked_helper(MatrixType&, typename MatrixType::RealScalar*, typename MatrixType::RealScalar*, Eigen::Index, Eigen::Ref::Flags & Eigen::RowMajorBit)> >, Eigen::Ref::Flags & Eigen::RowMajorBit)> >) [with MatrixType = Eigen::Block, -1, -1, false>; typename MatrixType::RealScalar = double; Eigen::Index = long int; typename MatrixType::Scalar = double; typename conditional::Flags & Eigen::RowMajorBit)>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:203:23: required from ‘void Eigen::internal::upperbidiagonalization_blocked_helper(MatrixType&, typename MatrixType::RealScalar*, typename MatrixType::RealScalar*, Eigen::Index, Eigen::Ref::Flags & Eigen::RowMajorBit)> >, Eigen::Ref::Flags & Eigen::RowMajorBit)> >) [with MatrixType = Eigen::Block, -1, -1, false>; typename MatrixType::RealScalar = double; Eigen::Index = long int; typename MatrixType::Scalar = double; typename conditional::Flags & Eigen::RowMajorBit)>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:203:23: required from ‘void Eigen::internal::upperbidiagonalization_blocked_helper(MatrixType&, typename MatrixType::RealScalar*, typename MatrixType::RealScalar*, Eigen::Index, Eigen::Ref::Flags & Eigen::RowMajorBit)> >, Eigen::Ref::Flags & Eigen::RowMajorBit)> >) [with MatrixType = Eigen::Block, -1, -1, false>; typename MatrixType::RealScalar = double; Eigen::Index = long int; typename MatrixType::Scalar = double; typename conditional::Flags & Eigen::RowMajorBit)>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false> >, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false> >, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> > >, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> > >, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<> > >::match, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:216:18: required from ‘void Eigen::internal::upperbidiagonalization_blocked_helper(MatrixType&, typename MatrixType::RealScalar*, typename MatrixType::RealScalar*, Eigen::Index, Eigen::Ref::Flags & Eigen::RowMajorBit)> >, Eigen::Ref::Flags & Eigen::RowMajorBit)> >) [with MatrixType = Eigen::Block, -1, -1, false>; typename MatrixType::RealScalar = double; Eigen::Index = long int; typename MatrixType::Scalar = double; typename conditional::Flags & Eigen::RowMajorBit)>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<> > >::match, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:216:18: required from ‘void Eigen::internal::upperbidiagonalization_blocked_helper(MatrixType&, typename MatrixType::RealScalar*, typename MatrixType::RealScalar*, Eigen::Index, Eigen::Ref::Flags & Eigen::RowMajorBit)> >, Eigen::Ref::Flags & Eigen::RowMajorBit)> >) [with MatrixType = Eigen::Block, -1, -1, false>; typename MatrixType::RealScalar = double; Eigen::Index = long int; typename MatrixType::Scalar = double; typename conditional::Flags & Eigen::RowMajorBit)>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >, Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >, Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> > >, Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> > >, Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::InnerStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, 0, Eigen::InnerStride<> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, 0, Eigen::InnerStride<> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, 0, Eigen::InnerStride<> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, 0, Eigen::InnerStride<> > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, 0, Eigen::InnerStride<> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::InnerStride<> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::InnerStride<> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::InnerStride<> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::InnerStride<> > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::InnerStride<> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, Eigen::Transpose, 0, Eigen::InnerStride<> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >, Eigen::Transpose, 0, Eigen::InnerStride<> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >, Eigen::Transpose, 0, Eigen::InnerStride<> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> > >, Eigen::Transpose, 0, Eigen::InnerStride<> > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> > >, Eigen::Transpose, 0, Eigen::InnerStride<> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:391:7: required from ‘Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, 0>, -1, 1, false>; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:428:22: required from ‘Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::operator()(Eigen::Index) [with Derived = Eigen::Block, 0>, -1, 1, false>; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1206:11: required from ‘void Eigen::BDCSVD::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:428:22: required from ‘Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::operator()(Eigen::Index) [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:602:7: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:212:60: required from ‘void Eigen::VectorwiseOp::reverseInPlace() [with ExpressionType = Eigen::Block, -1, -1, true>; int Direction = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:711:48: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, true>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, true>, 1>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:63:52: required from ‘class Eigen::Reverse, -1, -1, true>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:192:75: required from ‘static void Eigen::internal::vectorwise_reverse_inplace_impl<1>::run(ExpressionType&) [with ExpressionType = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:212:60: required from ‘void Eigen::VectorwiseOp::reverseInPlace() [with ExpressionType = Eigen::Block, -1, -1, true>; int Direction = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:711:48: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h: In instantiation of ‘class Eigen::Reverse, -1, -1, true>, -1, -1, true>, 1>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:192:75: required from ‘static void Eigen::internal::vectorwise_reverse_inplace_impl<1>::run(ExpressionType&) [with ExpressionType = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:212:60: required from ‘void Eigen::VectorwiseOp::reverseInPlace() [with ExpressionType = Eigen::Block, -1, -1, true>; int Direction = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:711:48: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument ‘Eigen::MatrixBase, -1, -1, true>, -1, -1, true>, 1> >::PacketScalar’ {aka ‘__m128d’} [-Wignored-attributes] 85 | typedef internal::reverse_packet_cond reverse_packet; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> > >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> > >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false> > >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false> > >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true> >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true> >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:110:143: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:196:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::Block, Eigen::Matrix >, -1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::Block, Eigen::Matrix >, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, -1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>]’ FPCA/Source/Mixed_FE_FPCA.cpp:205:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 2>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix, 2>, -1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix, 2>, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix, 2>, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix, 2>, -1, -1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix, 2>, -1, -1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix, 2>, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:415:116: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8: required from ‘struct Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:214:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:54: required from ‘bool Eigen::SparseQR::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SparseQR, Eigen::COLAMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false>, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, -1, -1, false>, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:97: required from ‘bool Eigen::SparseQR::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SparseQR, Eigen::COLAMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:105: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:223:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, 2, false>; VectorY = Eigen::Block, 1, 2, false>; OtherScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:535:69: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1191:84: required from ‘void Eigen::BDCSVD::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::InnerStride<1> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::InnerStride<1> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:768:53: required from ‘void Eigen::BDCSVD::computeSingVals(const ArrayRef&, const ArrayRef&, const IndicesRef&, VectorType&, ArrayRef, ArrayRef) [with _MatrixType = Eigen::Matrix; ArrayRef = Eigen::Ref, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref >; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:636:3: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1088:25: required from ‘void Eigen::BDCSVD::computeSingVecs(const ArrayRef&, const ArrayRef&, const IndicesRef&, const VectorType&, const ArrayRef&, const ArrayRef&, MatrixXr&, MatrixXr&) [with _MatrixType = Eigen::Matrix; ArrayRef = Eigen::Ref, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref >; VectorType = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:669:3: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false> >, -1, -1, false>, 5>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false> >, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false> >, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false> >, -1, -1, false>, 5>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false> >, -1, -1, false>, 5>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false> >, -1, -1, false>, 5>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >, Eigen::Matrix, 0>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:112:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >, Eigen::Matrix, 0>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:112:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >, Eigen::Matrix, 0>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:112:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:852:80: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53: required from ‘void Eigen::SparseLUMatrixUReturnType::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; MatrixLType = Eigen::internal::MappedSuperNodalMatrix; MatrixUType = Eigen::MappedSparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, 1, -1, false>, 1, -1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::InnerStride<1> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, 0, Eigen::InnerStride<1> >, -1>; Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::InnerStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, 0, Eigen::InnerStride<> >, -1>; Derived = Eigen::Ref, 0, Eigen::InnerStride<> >; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16777215> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16777215> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16777215> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16777215> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16777215> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 16777215>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Diagonal, 16777215>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BandMatrix.h:140:25: required from ‘void Eigen::internal::BandMatrixBase::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::internal::BandMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BandMatrix.h:148:13: required from ‘Eigen::internal::BandMatrixBase::DenseMatrixType Eigen::internal::BandMatrixBase::toDenseMatrix() const [with Derived = Eigen::internal::BandMatrix; DenseMatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:292:66: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 2, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 2, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> >, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> >, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, true>, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, true>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true> >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:110:143: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:196:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Option = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:196:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:206:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:206:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:253:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:286:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:374:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, false>; int Option = 0; Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:456:192: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57: required from ‘void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Ref, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Rhs = Eigen::Ref, 0, Eigen::InnerStride<1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref, 0, Eigen::InnerStride<1> >, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:437:55: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0>, -1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0>, -1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0>, -1, 1, false>; Src = Eigen::Block, -1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0>, -1, 1, false>; Src = Eigen::Block, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0>, -1, 1, false>; Src = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, 0>, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:442:56: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1193:128: required from ‘void Eigen::BDCSVD::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 16, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 16, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:339:53: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Transpose, -1, -1, false> >; CoeffsType = Eigen::VectorBlock, 1>, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Transpose, -1, -1, false> >; CoeffsType = Eigen::VectorBlock, 1>, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, 0>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, 0>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, 0>, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, 0>, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >, Eigen::Matrix, 0>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:112:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:29: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:64:20: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:74:16: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:86:11: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:23: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:23: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:18: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:11: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:100:20: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:85:22: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IncompleteLUT; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:45: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:45: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0> >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0> >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Diagonal, 0>; Src = Eigen::Block, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Diagonal, 0>; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Diagonal, 0>; Src = Eigen::Block, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Diagonal, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BandMatrix.h:138:22: required from ‘void Eigen::internal::BandMatrixBase::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::internal::BandMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BandMatrix.h:148:13: required from ‘Eigen::internal::BandMatrixBase::DenseMatrixType Eigen::internal::BandMatrixBase::toDenseMatrix() const [with Derived = Eigen::internal::BandMatrix; DenseMatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:292:66: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false>, -1, -1, true>, 2>, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, -1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, -1, true>; SrcXprType = Eigen::Reverse, -1, 1, false>, -1, -1, true>, 2>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, -1, true>; SrcXprType = Eigen::Reverse, -1, 1, false>, -1, -1, true>, 2>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>, -1, -1, true>; Src = Eigen::Reverse, -1, 1, false>, -1, -1, true>, 2>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:146:24: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::Reverse, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::Reverse, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:150:33: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::Reverse, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::Reverse, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>, -1, 1, false>; Src = Eigen::Reverse, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:150:33: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false>, -1, 1, false>, 2>, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Reverse, -1, 1, false>, -1, 1, false>, 2>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Reverse, -1, 1, false>, -1, 1, false>, 2>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, false>; Src = Eigen::Reverse, -1, 1, false>, -1, 1, false>, 2>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:156:23: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, 1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, 1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Reverse, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, 1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Reverse, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:160:33: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, 1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, 1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Reverse, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, 1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Reverse, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>, 1, 1, false>, -1, 1, false>; Src = Eigen::Reverse, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:160:33: required from ‘void Eigen::DenseBase::reverseInPlace() [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Src = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Src = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Src = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:377:20: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:378:20: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 16, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::InnerStride<1> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::InnerStride<1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::InnerStride<1> > > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::InnerStride<1> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::InnerStride<1> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 0, Eigen::InnerStride<1> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, 0, Eigen::InnerStride<1> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:768:53: required from ‘void Eigen::BDCSVD::computeSingVals(const ArrayRef&, const ArrayRef&, const IndicesRef&, VectorType&, ArrayRef, ArrayRef) [with _MatrixType = Eigen::Matrix; ArrayRef = Eigen::Ref, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref >; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:636:3: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:147:18: required from ‘void Eigen::MatrixBase::normalize() [with Derived = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1088:25: required from ‘void Eigen::BDCSVD::computeSingVecs(const ArrayRef&, const ArrayRef&, const IndicesRef&, const VectorType&, const ArrayRef&, const ArrayRef&, MatrixXr&, MatrixXr&) [with _MatrixType = Eigen::Matrix; ArrayRef = Eigen::Ref, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref >; VectorType = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:669:3: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, -1, -1, true>, 1>, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, -1, true>; SrcXprType = Eigen::Reverse, -1, -1, true>, -1, -1, true>, 1>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, -1, true>; SrcXprType = Eigen::Reverse, -1, -1, true>, -1, -1, true>, 1>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, -1, true>; Src = Eigen::Reverse, -1, -1, true>, -1, -1, true>, 1>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Reverse.h:212:60: required from ‘void Eigen::VectorwiseOp::reverseInPlace() [with ExpressionType = Eigen::Block, -1, -1, true>; int Direction = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:711:48: required from ‘void Eigen::BDCSVD::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int; MatrixXr = Eigen::Matrix; VectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 16, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27: required from ‘Eigen::internal::evaluator >::CoeffReturnType Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Product >, Eigen::Matrix, 1>; int DiagIndex = 0; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >, Eigen::Matrix, 0>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal >, Eigen::Matrix, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:112:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:321:17: required from ‘static void Eigen::internal::sparse_sparse_to_dense_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:55:103: required from ‘static void Eigen::internal::generic_product_impl::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix; ActualLhs = Eigen::Transpose >; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8; typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::DenseShape) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:192:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:196:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:642:29: required from ‘void Eigen::SparseQR_QProduct::evalTo(DesType&) const [with DesType = Eigen::Matrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::InnerStride<1> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> > >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> > >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> > >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::InnerStride<> > >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Map, 16, Eigen::Stride<0, 0> >; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, 2, -1, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = false; Functor = gemm_functor, Eigen::Block, -1, -1, true>, Eigen::Matrix, Eigen::Map, 16, Eigen::Stride<0, 0> >, gemm_blocking_space<0, double, double, 2, -1, -1, 1, false> >; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> > >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> > >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:277:18: required from ‘void Eigen::internal::sparse_sparse_to_dense_product_impl(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:322:78: required from ‘static void Eigen::internal::sparse_sparse_to_dense_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::SparseMatrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:55:103: required from ‘static void Eigen::internal::generic_product_impl::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix; ActualLhs = Eigen::Transpose >; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8; typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:192:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36: required from ‘void Eigen::SparseQR_QProduct::evalTo(DesType&) const [with DesType = Eigen::Matrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, 0, Eigen::InnerStride<1> >, -1>; Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::InnerStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:606:71: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:206:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:143:50: required from ‘struct Eigen::internal::sparse_solve_triangular_selector, -1, -1, false>, Eigen::Block, -1, 1, false>, 2, 2, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:189:126: required from ‘void Eigen::TriangularViewImpl::solveInPlace(Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; MatrixType = const Eigen::Block, -1, -1, false>; unsigned int Mode = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:55:25: required from ‘void Eigen::TriangularViewImpl::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block, -1, 1, false>; DstType = Eigen::Block, -1, 1, false>; MatrixType = const Eigen::Block, -1, -1, false>; unsigned int Mode = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; DecType = Eigen::TriangularView, -1, -1, false>, 2>; RhsType = Eigen::Block, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>; U = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >; Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, Eigen::Ref, 0, Eigen::OuterStride<> >, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false> >, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false> > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false> > >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 16, Eigen::Stride<0, 0> >, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 16, Eigen::Stride<0, 0> >, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 16, Eigen::Stride<0, 0> >, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 16, Eigen::Stride<0, 0> >, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 16, Eigen::Stride<0, 0> >, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, 16, Eigen::Stride<0, 0> >, 2, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false> >, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> > >, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> > >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> > >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> > >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:418:60: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:457:60: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:67:48: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<> > >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<> > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 16, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 16, Eigen::Stride<0, 0> >, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 16, Eigen::Stride<0, 0> >, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 16, Eigen::Stride<0, 0> >, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 16, Eigen::Stride<0, 0> >, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, 16, Eigen::Stride<0, 0> >, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Matrix, 0>; ExpressionType = Eigen::Map, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD::structured_update(Eigen::Block::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix; typename Eigen::NumTraits::Real = double; typename Xpr::Scalar = double; MatrixXr = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:48:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:46: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:192:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Block, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Block, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:39:42: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:192:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:20: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:192:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:73: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::SparseMatrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:192:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:26: required from ‘void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:29: required from ‘void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:50: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::IncompleteLUT; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:58: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:46: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::IncompleteLUT; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 2>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 2>, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:54: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:130:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView, -1, -1, true> >; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:35: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:192:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:457:60: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::InnerStride<1> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::OuterStride<> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = const Eigen::Diagonal, 0>; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53: required from ‘void Eigen::SparseLUMatrixUReturnType::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; MatrixLType = Eigen::internal::MappedSuperNodalMatrix; MatrixUType = Eigen::MappedSparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:110:143: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, Eigen::SparseMatrix, 0> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, -1, 1, true> >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:110:143: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57: required from ‘void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:374:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/Mixed_FE_FPCA.cpp:457:60: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix; BidiagType = BandMatrix; Eigen::Index = long int; typename MatrixType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> > >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:66:28: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = const Eigen::Matrix; CoeffsType = Eigen::Diagonal, 1>; int Side = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence, Eigen::Diagonal, 1>, 2>; HouseholderV = Eigen::HouseholderSequence, const Eigen::Diagonal, 0>, 1>; NaiveU = Eigen::Matrix; NaiveV = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:107:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:192:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:30: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:192:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:132:7: required from ‘Eigen::HouseholderQR::HouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ FPCA/Source/Mixed_FE_FPCA.cpp:98:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:192:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:192:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:192:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, -1, true>, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, true>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, true>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:192:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:192:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:192:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/Mixed_FE_FPCA.cpp:260:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:192:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ FPCA/Source/Mixed_FE_FPCA.cpp:192:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:341: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘Eigen::internal::trmv_selector<6, 1>::run, -1, -1, false> const, -1, -1, false> const>, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const>, Eigen::Transpose, 1, -1, true>, 1, -1, false> > >(Eigen::Transpose, -1, -1, false> const, -1, -1, false> const> const&, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const> const&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >::Scalar const&)void [clone .isra.0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result_43’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double *’ to ‘Eigen::internal::triangular_matrix_vector_product::run(long, long, double const*, long, double const*, long, double*, long, double const&)’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c FPCA/Source/Rfun_Smooth_FPCA.cpp -o FPCA/Source/Rfun_Smooth_FPCA.o In file included from FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:362, from FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh.h:11, from FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:5, from FPCA/Source/Rfun_Smooth_FPCA.cpp:2: FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment] 223 | // | \ | ^ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment] 226 | // | \ | ^ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment] 231 | // | \ | ^ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment] 233 | // | \ | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from FPCA/Source/../../FdaPDE.h:32, from FPCA/Source/Rfun_Smooth_FPCA.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from FPCA/Source/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ FPCA/Source/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:248:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:349:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:349:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:351:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<6, 2, 2>’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:117:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:119:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:73: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 1, true>’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:183:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 2>’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1>’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 2, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 3, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 3, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:152:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:81:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:75: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19: required from ‘class Eigen::HouseholderQR >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:97: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:96: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7: required from ‘class Eigen::MappedSparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:477:54: required from ‘class Eigen::SparseLU >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:53:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::COLAMDOrdering >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:37:41: required from ‘struct Eigen::internal::is_ref_compatible_impl >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:43:81: required from ‘struct Eigen::internal::is_ref_compatible >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:46:49: required from ‘class Eigen::IterativeSolverBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7: required from ‘class Eigen::ConjugateGradient >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:116:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:191:16: required from ‘class Eigen::IncompleteLUT’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:431:18: required from ‘class Eigen::IterativeSolverBase, Eigen::IncompleteLUT > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:158:7: required from ‘class Eigen::BiCGSTAB, Eigen::IncompleteLUT >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:160:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::IncompleteLUT >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::IncompleteLUT >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::IncompleteLUT >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::IncompleteLUT >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h: In instantiation of ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:41:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 41 | for(UInt j = 0; j < loadings.size(); j++) | ~~^~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:48:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 48 | for(UInt j = 0; j < scores.size(); j++) | ~~^~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:55:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 55 | for(UInt i = 0; i < lambdas.size(); i++) | ~~^~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:61:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 61 | for(UInt i = 0; i < variance_explained.size(); i++) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:67:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 67 | for(UInt i = 0; i < cumsum_percentage.size(); i++) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:72:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 72 | for(UInt i = 0; i < var.size(); i++) | ~~^~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h: In instantiation of ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:41:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 41 | for(UInt j = 0; j < loadings.size(); j++) | ~~^~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:48:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 48 | for(UInt j = 0; j < scores.size(); j++) | ~~^~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:55:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 55 | for(UInt i = 0; i < lambdas.size(); i++) | ~~^~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:61:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 61 | for(UInt i = 0; i < variance_explained.size(); i++) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:67:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 67 | for(UInt i = 0; i < cumsum_percentage.size(); i++) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:72:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 72 | for(UInt i = 0; i < var.size(); i++) | ~~^~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h: In instantiation of ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:41:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 41 | for(UInt j = 0; j < loadings.size(); j++) | ~~^~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:48:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 48 | for(UInt j = 0; j < scores.size(); j++) | ~~^~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:55:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 55 | for(UInt i = 0; i < lambdas.size(); i++) | ~~^~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:61:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 61 | for(UInt i = 0; i < variance_explained.size(); i++) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:67:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 67 | for(UInt i = 0; i < cumsum_percentage.size(); i++) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:72:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 72 | for(UInt i = 0; i < var.size(); i++) | ~~^~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h: In instantiation of ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40: required from here FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:41:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 41 | for(UInt j = 0; j < loadings.size(); j++) | ~~^~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:48:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 48 | for(UInt j = 0; j < scores.size(); j++) | ~~^~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:55:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 55 | for(UInt i = 0; i < lambdas.size(); i++) | ~~^~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:61:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 61 | for(UInt i = 0; i < variance_explained.size(); i++) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:67:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 67 | for(UInt i = 0; i < cumsum_percentage.size(); i++) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:72:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 72 | for(UInt i = 0; i < var.size(); i++) | ~~^~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h: In instantiation of ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:41:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 41 | for(UInt j = 0; j < loadings.size(); j++) | ~~^~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:48:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 48 | for(UInt j = 0; j < scores.size(); j++) | ~~^~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:55:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 55 | for(UInt i = 0; i < lambdas.size(); i++) | ~~^~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:61:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 61 | for(UInt i = 0; i < variance_explained.size(); i++) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:67:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 67 | for(UInt i = 0; i < cumsum_percentage.size(); i++) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:72:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 72 | for(UInt i = 0; i < var.size(); i++) | ~~^~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h: In instantiation of ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:41:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 41 | for(UInt j = 0; j < loadings.size(); j++) | ~~^~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:48:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 48 | for(UInt j = 0; j < scores.size(); j++) | ~~^~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:55:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 55 | for(UInt i = 0; i < lambdas.size(); i++) | ~~^~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:61:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 61 | for(UInt i = 0; i < variance_explained.size(); i++) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:67:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 67 | for(UInt i = 0; i < cumsum_percentage.size(); i++) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:72:27: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 72 | for(UInt i = 0; i < var.size(); i++) | ~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:280:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:397:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:730:33: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:77: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::PermutationMatrix<-1, -1, int>, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::PermutationMatrix<-1, -1, int>, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::PermutationMatrix<-1, -1, int>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:17: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 2, 2>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 2>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 2, 2>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 2>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 2, 2>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 2, 2>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 2, 2>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 2, 2>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<1, 2, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<1, 2, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<2, 2, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<2, 2, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<1, 3, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<1, 3, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 3, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 3, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 3, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 3, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 3, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 3, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:149:36: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:33: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:43: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:91: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 16, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:105:51: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:139:25: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:55: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:53: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:22: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 0, Eigen::OuterStride<> >, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:230:68: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:233:58: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA.h:199, from FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:6: FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h: In instantiation of ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’: FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:50:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 50 | for (int i = 0; i< k.size(); ++i) | ~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 3, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 3, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 3, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 3, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 3, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 3, 1, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 3, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 3, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 3, 1, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h: In instantiation of ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’: FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:50:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 50 | for (int i = 0; i< k.size(); ++i) | ~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 6, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 6, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 6, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 6, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 6, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 6, 1, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 6, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 6, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 6, 1, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h: In instantiation of ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’: FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:50:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 50 | for (int i = 0; i< k.size(); ++i) | ~^~~~~~~~~~ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h: In instantiation of ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’: FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40: required from here FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:50:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h: In instantiation of ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’: FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:50:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 4, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 4, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 4, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 4, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 4, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 4, 1, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 4, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 4, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 4, 1, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h: In instantiation of ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’: FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:50:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 50 | for (int i = 0; i< k.size(); ++i) | ~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:17:8: required from ‘struct Eigen::internal::traits, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 10, 1, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 10, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 10, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 10, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 10, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 10, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 10, 1, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 10, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 10, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 10, 1, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:19: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:354:41: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:565:21: required from ‘Derived& Eigen::PlainObjectBase::setZero(Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:659:16: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:166: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:148:65: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:25: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:78: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:70:52: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:79:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:87:15: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:85: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:229:47: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 3, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 3, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 6, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 6, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 6, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 6, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 6, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 6, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 4, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 4, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 4, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 10, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 10, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 10, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 10, false>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:920:52: required from ‘static const Eigen::MatrixBase::BasisReturnType Eigen::MatrixBase::Unit(Eigen::Index) [with Derived = Eigen::Matrix; BasisReturnType = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Eigen::Index = long int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:131: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:219:1: required from ‘const Eigen::ArrayBase::CmpEQReturnType Eigen::ArrayBase::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:151:16: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:115:7: required from ‘const Eigen::MapBase::Scalar& Eigen::MapBase::coeff(Eigen::Index) const [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:116:28: required from ‘static void Eigen::internal::LU_kernel_bmod<1>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:106:31: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparsePermutation.h:48:90: required from ‘static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix; int Side = 2; bool Transposed = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1073:73: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::PermutationMatrix<-1, -1, int>; int ProductTag = 8; MatrixShape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::PermutationMatrix<-1, -1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:9: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:30:18: required from ‘void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42: required from ‘void Eigen::AMDOrdering::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from ‘void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLDLT >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7: required from ‘void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = true; Derived = Eigen::SimplicialLDLT >; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:471:35: required from ‘Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:96:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:57: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:31: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 3, false>, 0>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 6, false>, 0>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:190:56: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:299:25: required from ‘Real Element::evaluate_point(const Point<3>&, const Eigen::Matrix&) const [with int NNODES = 3; Real = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:190:31: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:299:25: required from ‘Real Element::evaluate_point(const Point<3>&, const Eigen::Matrix&) const [with int NNODES = 3; Real = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:190:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:299:25: required from ‘Real Element::evaluate_point(const Point<3>&, const Eigen::Matrix&) const [with int NNODES = 3; Real = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:45: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 3, false>, 0>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 6, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 6, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 6, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:45: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 6, false>, 0>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:31: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 4, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 4, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 4, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 4, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 4, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 4, false>, 0>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 10, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 10, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 10, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 10, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 10, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 10, false>, 0>’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparsePermutation.h:79:13: required from ‘static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix; int Side = 2; bool Transposed = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1073:73: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::PermutationMatrix<-1, -1, int>; int ProductTag = 8; MatrixShape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::PermutationMatrix<-1, -1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:9: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:24: required from ‘void Element::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, 2, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, 2, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, 2, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, 2, 1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, 2, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10: required from ‘typename std::enable_if >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if >::type = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:37: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10: required from ‘typename std::enable_if >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if >::type = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:67: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10: required from ‘typename std::enable_if >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if >::type = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:24: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:41:10: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element >::type = Element<4, 3, 3>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:41:10: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element >::type = Element<4, 3, 3>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8: required from ‘struct Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:214:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:54: required from ‘bool Eigen::SparseQR::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SparseQR, Eigen::COLAMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false>, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, -1, -1, false>, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:97: required from ‘bool Eigen::SparseQR::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SparseQR, Eigen::COLAMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:105: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:223:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:41:10: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 2; int ndim = 2; typename std::enable_if<(! isManifold), Element >::type = Element<3, 2, 2>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/OrthoMethods.h:42:51: required from ‘typename Eigen::MatrixBase::cross_product_return_type::type Eigen::MatrixBase::cross(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 3, 1, true>; Derived = Eigen::Block, 3, 1, true>; typename cross_product_return_type::type = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:183:42: required from ‘void Element::computeProperties() [with int NNODES = 3]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10: required from ‘typename std::enable_if >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if >::type = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:41:10: required from ‘typename std::enable_if<(! isManifold), Element >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = false; int ORDER = 1; int mydim = 3; int ndim = 3; typename std::enable_if<(! isManifold), Element >::type = Element<4, 3, 3>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:110:26: required from ‘Real Element::evaluate_point(const Eigen::Matrix&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:24: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:587:61: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:852:80: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53: required from ‘void Eigen::SparseLUMatrixUReturnType::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; MatrixLType = Eigen::internal::MappedSuperNodalMatrix; MatrixUType = Eigen::MappedSparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 2, 1, true>; U = Eigen::Block, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 2, 1, true>; U = Eigen::Block, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::Block, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::Block, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::Block, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::Block, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57: required from ‘void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 3, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 3, 1, false>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 6, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 6, 1, false>; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 4, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 4, 1, false>; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 4, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 4, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 4, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 4, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 4, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 10, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 10, 1, false>; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 10, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 10, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 10, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 10, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 10, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:29: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:64:20: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:74:16: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:86:11: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:23: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:23: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:18: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:11: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:100:20: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:85:22: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IncompleteLUT; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 3, false>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 3, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 3, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 2, 3, false>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 6, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 6, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 6, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 6, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 6, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 6, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 6, false>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 6, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 6, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 6, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 6, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 6, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 6, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 2, 6, false>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 4, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 4, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 4, false>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 4, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 4, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 4, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 4, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 3, 4, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 3, 4, false>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 10, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 10, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 10, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 10, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 10, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 10, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 10, false>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 10, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 10, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 10, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 10, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 10, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 3, 10, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 3, 10, false>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:45:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:642:29: required from ‘void Eigen::SparseQR_QProduct::evalTo(DesType&) const [with DesType = Eigen::Matrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 3, false>; SrcXprType = Eigen::Product >, Eigen::Block, 2, 3, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 3, false>; SrcXprType = Eigen::Product >, Eigen::Block, 2, 3, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 3, false>; Src = Eigen::Product >, Eigen::Block, 2, 3, false>, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 3, 3, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, 3, 3, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 3, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 6, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 6, false>; SrcXprType = Eigen::Product >, Eigen::Block, 2, 6, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 6, false>; SrcXprType = Eigen::Product >, Eigen::Block, 2, 6, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 6, false>; Src = Eigen::Product >, Eigen::Block, 2, 6, false>, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 3, 6, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 6, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, 3, 6, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 6, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, 2, 6, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 3, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36: required from ‘void Eigen::SparseQR_QProduct::evalTo(DesType&) const [with DesType = Eigen::Matrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:172:52: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:143:50: required from ‘struct Eigen::internal::sparse_solve_triangular_selector, -1, -1, false>, Eigen::Block, -1, 1, false>, 2, 2, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:189:126: required from ‘void Eigen::TriangularViewImpl::solveInPlace(Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; MatrixType = const Eigen::Block, -1, -1, false>; unsigned int Mode = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:55:25: required from ‘void Eigen::TriangularViewImpl::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block, -1, 1, false>; DstType = Eigen::Block, -1, 1, false>; MatrixType = const Eigen::Block, -1, -1, false>; unsigned int Mode = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; DecType = Eigen::TriangularView, -1, -1, false>, 2>; RhsType = Eigen::Block, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:158:34: required from ‘void Eigen::internal::compute_inverse_size3_helper(const MatrixType&, const typename ResultType::Scalar&, const Eigen::Matrix&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; typename ResultType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:174:33: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:45:40: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:67:48: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:26: required from ‘void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:29: required from ‘void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:50: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::IncompleteLUT; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:58: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:46: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::IncompleteLUT; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 2>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 2>, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:54: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 2, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 2, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 2, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 3, false>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 3, false>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 3, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 6, false>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 6, false>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 6, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 2, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 2, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 2, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 3, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 6, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:43:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 3, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 3, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 3, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 4, false>, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 4, false>, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 3, 4, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 3, 4, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 10, false>, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 10, false>, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 3, 10, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 3, 10, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 2, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 3, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 6, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:39:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 2, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 3, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 3, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 4, false>, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 10, false>, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:158:23: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:47:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:37:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:190:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:299:25: required from ‘Real Element::evaluate_point(const Point<3>&, const Eigen::Matrix&) const [with int NNODES = 3; Real = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, 2, 1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, 2, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, 2, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, 2, 1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, 2, 1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10: required from ‘typename std::enable_if >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if >::type = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 2, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, Eigen::Block, 2, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, 2, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Block, 2, 1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Block, 2, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10: required from ‘typename std::enable_if >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if >::type = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 3, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:103:51: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:45:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10: required from ‘typename std::enable_if >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if >::type = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10: required from ‘typename std::enable_if >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if >::type = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10: required from ‘typename std::enable_if >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if >::type = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, 2, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10: required from ‘typename std::enable_if >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if >::type = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 3, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 3, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 3, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10: required from ‘typename std::enable_if >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if >::type = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:103:23: required from ‘MeshHandler::meshElement MeshHandler::findLocationTree(const Point&) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:53:10: required from ‘typename std::enable_if >::type MeshHandler::findLocation(const Point&) const [with bool isManifold = true; int ORDER = 1; int mydim = 2; int ndim = 3; typename std::enable_if >::type = Element<3, 2, 3>]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:92:69: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 3, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 3, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:64:67: required from ‘void MixedFEFPCABase::computeBasisEvaluations(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/../../FPCA/Include/Mixed_FE_FPCA_imp.h:153:59: required from ‘void MixedFEFPCABase::SetAndFixParameters(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ FPCA/Source/../../Skeletons/Include/FPCA_Skeleton.h:17:54: required from ‘SEXPREC* FPCA_skeleton(FPCAData&, SEXP, std::string) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ FPCA/Source/Rfun_Smooth_FPCA.cpp:41:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:294: In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<6, 2, 2>::Element(Element<6, 2, 2> const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 160].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree.h:122, from FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh.h:12: FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<6, 2, 2>::Element(Element<6, 2, 2> const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 192].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<3, 2, 2>::Element(Element<3, 2, 2> const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 80].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<3, 2, 2>::Element(Element<3, 2, 2> const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 112].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Element<3, 2, 2>::Element(Element<3, 2, 2> const&)’, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:57:7: warning: ‘MEM[(const struct Element &)&obj].element_measure’ may be used uninitialized [-Wmaybe-uninitialized] 57 | class Element : public Identifier { | ^~~~~~~ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<4, 3, 3>::Element(Element<4, 3, 3> const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 136].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<4, 3, 3>::Element(Element<4, 3, 3> const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 208].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<10, 3, 3>::Element(Element<10, 3, 3> const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 328].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<10, 3, 3>::Element(Element<10, 3, 3> const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 400].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<6, 2, 3>::Element(Element<6, 2, 3> const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 208].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<6, 2, 3>::Element(Element<6, 2, 3> const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 256].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<3, 2, 3>::Element(Element<3, 2, 3> const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 112].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<3, 2, 3>::Element(Element<3, 2, 3> const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 160].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Element<3, 2, 3>::Element(Element<3, 2, 3> const&)’, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: FPCA/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_Objects.h:168:7: warning: ‘MEM[(const struct Element &)&obj].element_measure’ may be used uninitialized [-Wmaybe-uninitialized] 168 | class Element : public Identifier { | ^~~~~~~~~~~~~~~~~~~~~ FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: FPCA/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c Global_Utilities/Source/Lambda.cpp -o Global_Utilities/Source/Lambda.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from Global_Utilities/Source/../Include/../../FdaPDE.h:32, from Global_Utilities/Source/../Include/Lambda.h:4, from Global_Utilities/Source/Lambda.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from Global_Utilities/Source/../Include/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ Global_Utilities/Source/../Include/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Global_Utilities/Source/../Include/Lambda.h:20:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Global_Utilities/Source/../Include/Lambda.h:20:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c Inference/Source/Inference_Data.cpp -o Inference/Source/Inference_Data.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from Inference/Source/../Include/../../FdaPDE.h:32, from Inference/Source/../Include/Inference_Data.h:4, from Inference/Source/Inference_Data.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from Inference/Source/../Include/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ Inference/Source/../Include/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/Inference_Data.h:23:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/Inference_Data.h:23:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/Inference_Data.h:27:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Inference/Source/../Include/Inference_Data.h:32:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Inference/Source/Inference_Data.cpp: In member function ‘void InferenceData::print_inference_data() const’: Inference/Source/Inference_Data.cpp:210:19: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 210 | for(UInt i=0; i < test_Type.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~ Inference/Source/Inference_Data.cpp:215:19: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 215 | for(UInt i=0; i < interval_Type.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~ Inference/Source/Inference_Data.cpp:220:19: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 220 | for(UInt i=0; i < implementation_Type.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Inference/Source/Inference_Data.cpp:225:19: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | for(UInt i=0; i < component_Type.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~ Inference/Source/Inference_Data.cpp:233:19: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 233 | for(UInt i=0; i < enhanced_Inference.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ Inference/Source/Inference_Data.cpp:247:19: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 247 | for(UInt i=0; i < locs_index_Inference.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c Inference/Source/Inverter.cpp -o Inference/Source/Inverter.o In file included from Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:362, from Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:6, from Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression.h:7, from Inference/Source/../Include/Inference_Carrier.h:6, from Inference/Source/../Include/Inverter.h:6, from Inference/Source/Inverter.cpp:1: Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment] 223 | // | \ | ^ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment] 226 | // | \ | ^ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment] 231 | // | \ | ^ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment] 233 | // | \ | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from Inference/Source/../Include/../../FdaPDE.h:32, from Inference/Source/../Include/Inverter.h:5: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from Inference/Source/../Include/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ Inference/Source/../Include/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:248:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:351:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<6, 2, 2>’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:117:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:119:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:73: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 1, true>’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:183:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 2>’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1>’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 2, false>’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 3, false>’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 3, false>’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:152:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:81:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:75: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19: required from ‘class Eigen::HouseholderQR >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:97: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:96: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7: required from ‘class Eigen::MappedSparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:477:54: required from ‘class Eigen::SparseLU >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:53:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::COLAMDOrdering >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:37:41: required from ‘struct Eigen::internal::is_ref_compatible_impl >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:43:81: required from ‘struct Eigen::internal::is_ref_compatible >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:46:49: required from ‘class Eigen::IterativeSolverBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7: required from ‘class Eigen::ConjugateGradient >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:116:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:191:16: required from ‘class Eigen::IncompleteLUT’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:431:18: required from ‘class Eigen::IterativeSolverBase, Eigen::IncompleteLUT > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:158:7: required from ‘class Eigen::BiCGSTAB, Eigen::IncompleteLUT >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:160:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::IncompleteLUT >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::IncompleteLUT >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::IncompleteLUT >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::IncompleteLUT >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:352:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:377:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: recursively required by substitution of ‘template Eigen::PartialPivLU >& Eigen::PartialPivLU >::compute(const Eigen::EigenBase&) [with InputType = ]’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: recursively required by substitution of ‘template Eigen::PartialPivLU >& Eigen::PartialPivLU >::compute(const Eigen::EigenBase&) [with InputType = ]’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:37: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:401:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:403:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:551:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression.h:360: Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In member function ‘void MixedFERegressionBase::buildMatrixNoCov(const SpMat&, const SpMat&, const SpMat&)’: Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:569:5: warning: this ‘if’ clause does not guard... [-Wmisleading-indentation] 569 | if (regressionData_.isSpaceTime() && !this->isIterative) | ^~ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:573:9: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘if’ 573 | std::vector tripletAll; | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:644:59: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:651:75: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:55: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:56: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:60: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:698:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:721:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:757:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:772:234: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:801:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34: required from ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:818:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:818:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34: required from ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:104:7: required from ‘class Eigen::SolveImpl >, Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::SparseMatrix >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:33: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, 1, -1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1038:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 0>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:94: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1470:114: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1470:114: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1474:126: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1474:126: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1484:126: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:137: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:184: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1543:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1543:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:113: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1552:139: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’ Inference/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1552:139: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Inference/Source/Inverter.cpp:5:55: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ Inference/Source/Inverter.cpp:5:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:280:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:397:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:77: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::PermutationMatrix<-1, -1, int>, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::PermutationMatrix<-1, -1, int>, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::PermutationMatrix<-1, -1, int>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:17: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 16, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:105:51: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:139:25: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:55: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:53: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:22: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 0, Eigen::OuterStride<> >, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:230:68: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:233:58: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:19: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:354:41: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:166: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:148:65: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:25: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:78: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:70:52: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:79:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:87:15: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:85: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:229:47: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:219:1: required from ‘const Eigen::ArrayBase::CmpEQReturnType Eigen::ArrayBase::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:151:16: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:115:7: required from ‘const Eigen::MapBase::Scalar& Eigen::MapBase::coeff(Eigen::Index) const [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:116:28: required from ‘static void Eigen::internal::LU_kernel_bmod<1>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:106:31: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparsePermutation.h:48:90: required from ‘static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix; int Side = 2; bool Transposed = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1073:73: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::PermutationMatrix<-1, -1, int>; int ProductTag = 8; MatrixShape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::PermutationMatrix<-1, -1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:9: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:30:18: required from ‘void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42: required from ‘void Eigen::AMDOrdering::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from ‘void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLDLT >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7: required from ‘void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = true; Derived = Eigen::SimplicialLDLT >; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:471:35: required from ‘Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:96:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparsePermutation.h:79:13: required from ‘static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix; int Side = 2; bool Transposed = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1073:73: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::PermutationMatrix<-1, -1, int>; int ProductTag = 8; MatrixShape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::PermutationMatrix<-1, -1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:9: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8: required from ‘struct Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:214:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:54: required from ‘bool Eigen::SparseQR::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SparseQR, Eigen::COLAMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false>, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, -1, -1, false>, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:97: required from ‘bool Eigen::SparseQR::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SparseQR, Eigen::COLAMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:105: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:223:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:66: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, Eigen::Matrix >, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, Eigen::Matrix >, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, Eigen::Matrix >, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, Eigen::Matrix >, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, Eigen::Matrix >, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, Eigen::Matrix >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:587:61: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:852:80: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53: required from ‘void Eigen::SparseLUMatrixUReturnType::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; MatrixLType = Eigen::internal::MappedSuperNodalMatrix; MatrixUType = Eigen::MappedSparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53: required from ‘void Eigen::SparseLUMatrixUReturnType::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; MatrixLType = Eigen::internal::MappedSuperNodalMatrix; MatrixUType = Eigen::MappedSparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57: required from ‘void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57: required from ‘void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:29: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:64:20: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:74:16: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:86:11: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:23: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:23: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:18: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:11: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:100:20: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:85:22: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IncompleteLUT; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:45:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:642:29: required from ‘void Eigen::SparseQR_QProduct::evalTo(DesType&) const [with DesType = Eigen::Matrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36: required from ‘void Eigen::SparseQR_QProduct::evalTo(DesType&) const [with DesType = Eigen::Matrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, Eigen::Matrix >, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, Eigen::Matrix >, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, Eigen::Matrix >, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, Eigen::Matrix >, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, Eigen::Matrix >, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:143:50: required from ‘struct Eigen::internal::sparse_solve_triangular_selector, -1, -1, false>, Eigen::Block, -1, 1, false>, 2, 2, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:189:126: required from ‘void Eigen::TriangularViewImpl::solveInPlace(Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; MatrixType = const Eigen::Block, -1, -1, false>; unsigned int Mode = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:55:25: required from ‘void Eigen::TriangularViewImpl::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block, -1, 1, false>; DstType = Eigen::Block, -1, 1, false>; MatrixType = const Eigen::Block, -1, -1, false>; unsigned int Mode = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; DecType = Eigen::TriangularView, -1, -1, false>, 2>; RhsType = Eigen::Block, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, -1, 1, true>, 1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, -1, 1, true>, 1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, -1, 1, true>, 1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:45:40: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:67:48: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:26: required from ‘void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:29: required from ‘void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:50: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::IncompleteLUT; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:58: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:46: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::IncompleteLUT; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 2>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 2>, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:54: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, Eigen::Matrix >, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, Eigen::Matrix >, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, Eigen::Matrix >, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Inference/Source/Inverter.cpp:5:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Inference/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c Lambda_Optimization/Source/Auxiliary_Optimizer.cpp -o Lambda_Optimization/Source/Auxiliary_Optimizer.o In file included from Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:362, from Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:6, from Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression.h:7, from Lambda_Optimization/Source/../Include/Carrier.h:8, from Lambda_Optimization/Source/../Include/Auxiliary_Optimizer.h:10, from Lambda_Optimization/Source/Auxiliary_Optimizer.cpp:1: Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment] 223 | // | \ | ^ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment] 226 | // | \ | ^ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment] 231 | // | \ | ^ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment] 233 | // | \ | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from Lambda_Optimization/Source/../Include/../../FdaPDE.h:32, from Lambda_Optimization/Source/../Include/Auxiliary_Optimizer.h:7: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from Lambda_Optimization/Source/../Include/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ Lambda_Optimization/Source/../Include/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:75: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:75: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:73:124: required from ‘class Eigen::HouseholderQR >’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19: required from ‘class Eigen::HouseholderQR >’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:97: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:96: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7: required from ‘class Eigen::MappedSparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:477:54: required from ‘class Eigen::SparseLU >’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:53:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::COLAMDOrdering >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:37:41: required from ‘struct Eigen::internal::is_ref_compatible_impl >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:43:81: required from ‘struct Eigen::internal::is_ref_compatible >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:46:49: required from ‘class Eigen::IterativeSolverBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7: required from ‘class Eigen::ConjugateGradient >’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:116:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:191:16: required from ‘class Eigen::IncompleteLUT’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:431:18: required from ‘class Eigen::IterativeSolverBase, Eigen::IncompleteLUT > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:158:7: required from ‘class Eigen::BiCGSTAB, Eigen::IncompleteLUT >’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:160:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::IncompleteLUT >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::IncompleteLUT >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::IncompleteLUT >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::IncompleteLUT >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:248:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:351:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<6, 2, 2>’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:117:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:119:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:73: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 1, true>’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:183:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 2>’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1>’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 2, false>’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 3, false>’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 3, false>’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:152:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:352:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:377:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: recursively required by substitution of ‘template Eigen::PartialPivLU >& Eigen::PartialPivLU >::compute(const Eigen::EigenBase&) [with InputType = ]’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: recursively required by substitution of ‘template Eigen::PartialPivLU >& Eigen::PartialPivLU >::compute(const Eigen::EigenBase&) [with InputType = ]’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:37: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:401:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:403:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:551:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression.h:360: Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In member function ‘void MixedFERegressionBase::buildMatrixNoCov(const SpMat&, const SpMat&, const SpMat&)’: Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:569:5: warning: this ‘if’ clause does not guard... [-Wmisleading-indentation] 569 | if (regressionData_.isSpaceTime() && !this->isIterative) | ^~ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:573:9: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘if’ 573 | std::vector tripletAll; | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:644:59: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:651:75: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:55: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:56: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:60: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:698:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:721:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:757:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:772:234: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:801:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34: required from ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:818:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:818:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34: required from ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:104:7: required from ‘class Eigen::SolveImpl >, Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::SparseMatrix >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:33: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, 1, -1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1038:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 0>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:94: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1470:114: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1470:114: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1474:126: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1474:126: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1484:126: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:137: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:184: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1543:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1543:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:113: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1552:139: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’ Lambda_Optimization/Source/../Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1552:139: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ Lambda_Optimization/Source/../Include/Auxiliary_Optimizer_imp.h:396:104: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1>’ Lambda_Optimization/Source/../Include/Auxiliary_Optimizer_imp.h:396:106: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Lambda_Optimization/Source/../Include/Auxiliary_Optimizer_imp.h:453:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ Lambda_Optimization/Source/../Include/Auxiliary_Optimizer_imp.h:471:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>’ Lambda_Optimization/Source/../Include/Auxiliary_Optimizer_imp.h:471:56: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >’ Lambda_Optimization/Source/../Include/Auxiliary_Optimizer_imp.h:471:59: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ Lambda_Optimization/Source/../Include/Auxiliary_Optimizer_imp.h:485:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>’ Lambda_Optimization/Source/../Include/Auxiliary_Optimizer_imp.h:485:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Lambda_Optimization/Source/Auxiliary_Optimizer.cpp:55:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Lambda_Optimization/Source/Auxiliary_Optimizer.cpp:70:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>’ Lambda_Optimization/Source/Auxiliary_Optimizer.cpp:82:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:77: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::PermutationMatrix<-1, -1, int>, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::PermutationMatrix<-1, -1, int>, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::PermutationMatrix<-1, -1, int>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:17: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:280:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:397:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 16, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:105:51: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:139:25: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:55: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:53: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:22: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 0, Eigen::OuterStride<> >, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:230:68: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:233:58: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:19: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:354:41: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:166: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:148:65: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:25: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:78: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:70:52: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:79:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:87:15: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:85: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:229:47: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:219:1: required from ‘const Eigen::ArrayBase::CmpEQReturnType Eigen::ArrayBase::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:115:7: required from ‘const Eigen::MapBase::Scalar& Eigen::MapBase::coeff(Eigen::Index) const [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:116:28: required from ‘static void Eigen::internal::LU_kernel_bmod<1>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:106:31: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparsePermutation.h:48:90: required from ‘static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix; int Side = 2; bool Transposed = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1073:73: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::PermutationMatrix<-1, -1, int>; int ProductTag = 8; MatrixShape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::PermutationMatrix<-1, -1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:9: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:30:18: required from ‘void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42: required from ‘void Eigen::AMDOrdering::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from ‘void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLDLT >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7: required from ‘void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = true; Derived = Eigen::SimplicialLDLT >; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:471:35: required from ‘Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLDLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:96:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Lambda_Optimization/Source/Auxiliary_Optimizer.cpp:93:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparsePermutation.h:79:13: required from ‘static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix; int Side = 2; bool Transposed = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1073:73: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::SparseMatrix; Rhs = Eigen::PermutationMatrix<-1, -1, int>; int ProductTag = 8; MatrixShape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::PermutationMatrix<-1, -1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:9: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8: required from ‘struct Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:214:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:54: required from ‘bool Eigen::SparseQR::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SparseQR, Eigen::COLAMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false>, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, -1, -1, false>, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:97: required from ‘bool Eigen::SparseQR::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SparseQR, Eigen::COLAMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:105: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:223:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:628:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Lambda_Optimization/Source/Auxiliary_Optimizer.cpp:93:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:587:61: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:852:80: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53: required from ‘void Eigen::SparseLUMatrixUReturnType::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; MatrixLType = Eigen::internal::MappedSuperNodalMatrix; MatrixUType = Eigen::MappedSparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Lambda_Optimization/Source/../Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57: required from ‘void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:29: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:64:20: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:74:16: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:86:11: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:23: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:23: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:18: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:11: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:100:20: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:85:22: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IncompleteLUT; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:45:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:642:29: required from ‘void Eigen::SparseQR_QProduct::evalTo(DesType&) const [with DesType = Eigen::Matrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36: required from ‘void Eigen::SparseQR_QProduct::evalTo(DesType&) const [with DesType = Eigen::Matrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:143:50: required from ‘struct Eigen::internal::sparse_solve_triangular_selector, -1, -1, false>, Eigen::Block, -1, 1, false>, 2, 2, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:189:126: required from ‘void Eigen::TriangularViewImpl::solveInPlace(Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; MatrixType = const Eigen::Block, -1, -1, false>; unsigned int Mode = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:55:25: required from ‘void Eigen::TriangularViewImpl::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block, -1, 1, false>; DstType = Eigen::Block, -1, 1, false>; MatrixType = const Eigen::Block, -1, -1, false>; unsigned int Mode = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; DecType = Eigen::TriangularView, -1, -1, false>, 2>; RhsType = Eigen::Block, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:45:40: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:67:48: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:26: required from ‘void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:29: required from ‘void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:50: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::IncompleteLUT; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:58: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:46: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::IncompleteLUT; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 2>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 2>, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:54: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Lambda_Optimization/Source/../Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c Lambda_Optimization/Source/Optimization_Data.cpp -o Lambda_Optimization/Source/Optimization_Data.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from Lambda_Optimization/Source/../Include/../../FdaPDE.h:32, from Lambda_Optimization/Source/../Include/Optimization_Data.h:4, from Lambda_Optimization/Source/Optimization_Data.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from Lambda_Optimization/Source/../Include/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ Lambda_Optimization/Source/../Include/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/Optimization_Data.h:44:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Lambda_Optimization/Source/../Include/Optimization_Data.h:44:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c Mesh/Source/Rfun_MeshInputHelper.cpp -o Mesh/Source/Rfun_MeshInputHelper.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from Mesh/Source/../../FdaPDE.h:32, from Mesh/Source/Rfun_MeshInputHelper.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from Mesh/Source/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ Mesh/Source/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from Mesh/Source/../Include/Mesh_Input_Helper.h:264, from Mesh/Source/Rfun_MeshInputHelper.cpp:3: Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of ‘std::vector simplex_container::how_many_neighbors(UInt) const [with int mydim = 1; UInt = int]’: Mesh/Source/../Include/Mesh_Input_Helper_imp.h:216:62: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:196:22: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 196 | while( curr_idx < simplexes.size() && simplexes[index] == simplexes[curr_idx] ) | ~~~~~~~~~^~~~~~~~~~~~~~~~~~ Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of ‘void simplex_container::assemble_subs(SEXP, UInt) const [with int mydim = 2; SEXP = SEXPREC*; UInt = int]’: Mesh/Source/Rfun_MeshInputHelper.cpp:20:29: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:127:20: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 127 | for(UInt i=0; i::mark_boundary(SEXP, UInt) const [with int mydim = 2; SEXP = SEXPREC*; UInt = int]’: Mesh/Source/Rfun_MeshInputHelper.cpp:21:29: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:138:18: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 138 | for(UInt i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | boundarymarkers[distinct_indexes.size()-1] = distinct_indexes.back()+1==duplicates.size() || !duplicates[distinct_indexes.back()+1]; | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of ‘void simplex_container::compute_neighbors(SEXP, UInt) const [with int mydim = 2; SEXP = SEXPREC*; UInt = int]’: Mesh/Source/Rfun_MeshInputHelper.cpp:22:33: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:152:19: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 152 | for (UInt i=0; i::assemble_subs(SEXP, UInt) const [with int mydim = 3; SEXP = SEXPREC*; UInt = int]’: Mesh/Source/Rfun_MeshInputHelper.cpp:102:29: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:127:20: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 127 | for(UInt i=0; i::mark_boundary(SEXP, UInt) const [with int mydim = 3; SEXP = SEXPREC*; UInt = int]’: Mesh/Source/Rfun_MeshInputHelper.cpp:103:29: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:138:18: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 138 | for(UInt i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | boundarymarkers[distinct_indexes.size()-1] = distinct_indexes.back()+1==duplicates.size() || !duplicates[distinct_indexes.back()+1]; | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of ‘void simplex_container::compute_neighbors(SEXP, UInt) const [with int mydim = 3; SEXP = SEXPREC*; UInt = int]’: Mesh/Source/Rfun_MeshInputHelper.cpp:104:33: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:152:19: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 152 | for (UInt i=0; i::assemble_subs(SEXP, UInt) const [with int mydim = 1; SEXP = SEXPREC*; UInt = int]’: Mesh/Source/Rfun_MeshInputHelper.cpp:190:31: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:127:20: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 127 | for(UInt i=0; i::mark_boundary(SEXP, UInt) const [with int mydim = 1; SEXP = SEXPREC*; UInt = int]’: Mesh/Source/Rfun_MeshInputHelper.cpp:191:31: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:138:18: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 138 | for(UInt i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | boundarymarkers[distinct_indexes.size()-1] = distinct_indexes.back()+1==duplicates.size() || !duplicates[distinct_indexes.back()+1]; | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of ‘void simplex_container::fill_container(const std::array&) [with long unsigned int SIZE = 6; int mydim = 2]’: Mesh/Source/../Include/Mesh_Input_Helper.h:58:93: required from ‘simplex_container::simplex_container(SEXP, SEXP, const std::array&) [with long unsigned int SIZE = 6; int mydim = 2; SEXP = SEXPREC*]’ Mesh/Source/Rfun_MeshInputHelper.cpp:19:71: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:18:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::array::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18 | for(UInt j=0; j::fill_container(const std::array&) [with long unsigned int SIZE = 12; int mydim = 3]’: Mesh/Source/../Include/Mesh_Input_Helper.h:58:93: required from ‘simplex_container::simplex_container(SEXP, SEXP, const std::array&) [with long unsigned int SIZE = 12; int mydim = 3; SEXP = SEXPREC*]’ Mesh/Source/Rfun_MeshInputHelper.cpp:101:74: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:18:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::array::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of ‘void simplex_container::fill_container(const std::array&) [with long unsigned int SIZE = 12; int mydim = 2]’: Mesh/Source/../Include/Mesh_Input_Helper.h:58:93: required from ‘simplex_container::simplex_container(SEXP, SEXP, const std::array&) [with long unsigned int SIZE = 12; int mydim = 2; SEXP = SEXPREC*]’ Mesh/Source/Rfun_MeshInputHelper.cpp:133:74: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:18:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::array::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of ‘void simplex_container::fill_container(const std::array&) [with long unsigned int SIZE = 2; int mydim = 1]’: Mesh/Source/../Include/Mesh_Input_Helper.h:58:93: required from ‘simplex_container::simplex_container(SEXP, SEXP, const std::array&) [with long unsigned int SIZE = 2; int mydim = 1; SEXP = SEXPREC*]’ Mesh/Source/Rfun_MeshInputHelper.cpp:189:69: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:18:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::array::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of ‘void simplex_container::bin_sort() [with int mydim = 2]’: Mesh/Source/../Include/Mesh_Input_Helper_imp.h:27:3: required from ‘void simplex_container::fill_container(const std::array&) [with long unsigned int SIZE = 6; int mydim = 2]’ Mesh/Source/../Include/Mesh_Input_Helper.h:58:93: required from ‘simplex_container::simplex_container(SEXP, SEXP, const std::array&) [with long unsigned int SIZE = 6; int mydim = 2; SEXP = SEXPREC*]’ Mesh/Source/Rfun_MeshInputHelper.cpp:19:71: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:38:18: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 38 | for(UInt i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 43 | for(UInt i=0; i::store_indexes() [with int mydim = 2]’: Mesh/Source/../Include/Mesh_Input_Helper_imp.h:29:3: required from ‘void simplex_container::fill_container(const std::array&) [with long unsigned int SIZE = 6; int mydim = 2]’ Mesh/Source/../Include/Mesh_Input_Helper.h:58:93: required from ‘simplex_container::simplex_container(SEXP, SEXP, const std::array&) [with long unsigned int SIZE = 6; int mydim = 2; SEXP = SEXPREC*]’ Mesh/Source/Rfun_MeshInputHelper.cpp:19:71: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:113:18: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 113 | for(UInt i=0; i::bin_sort() [with int mydim = 3]’: Mesh/Source/../Include/Mesh_Input_Helper_imp.h:27:3: required from ‘void simplex_container::fill_container(const std::array&) [with long unsigned int SIZE = 12; int mydim = 3]’ Mesh/Source/../Include/Mesh_Input_Helper.h:58:93: required from ‘simplex_container::simplex_container(SEXP, SEXP, const std::array&) [with long unsigned int SIZE = 12; int mydim = 3; SEXP = SEXPREC*]’ Mesh/Source/Rfun_MeshInputHelper.cpp:101:74: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:38:18: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 38 | for(UInt i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 43 | for(UInt i=0; i::store_indexes() [with int mydim = 3]’: Mesh/Source/../Include/Mesh_Input_Helper_imp.h:29:3: required from ‘void simplex_container::fill_container(const std::array&) [with long unsigned int SIZE = 12; int mydim = 3]’ Mesh/Source/../Include/Mesh_Input_Helper.h:58:93: required from ‘simplex_container::simplex_container(SEXP, SEXP, const std::array&) [with long unsigned int SIZE = 12; int mydim = 3; SEXP = SEXPREC*]’ Mesh/Source/Rfun_MeshInputHelper.cpp:101:74: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:113:18: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 113 | for(UInt i=0; i::bin_sort() [with int mydim = 1]’: Mesh/Source/../Include/Mesh_Input_Helper_imp.h:27:3: required from ‘void simplex_container::fill_container(const std::array&) [with long unsigned int SIZE = 2; int mydim = 1]’ Mesh/Source/../Include/Mesh_Input_Helper.h:58:93: required from ‘simplex_container::simplex_container(SEXP, SEXP, const std::array&) [with long unsigned int SIZE = 2; int mydim = 1; SEXP = SEXPREC*]’ Mesh/Source/Rfun_MeshInputHelper.cpp:189:69: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:38:18: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 38 | for(UInt i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 43 | for(UInt i=0; i::store_indexes() [with int mydim = 1]’: Mesh/Source/../Include/Mesh_Input_Helper_imp.h:29:3: required from ‘void simplex_container::fill_container(const std::array&) [with long unsigned int SIZE = 2; int mydim = 1]’ Mesh/Source/../Include/Mesh_Input_Helper.h:58:93: required from ‘simplex_container::simplex_container(SEXP, SEXP, const std::array&) [with long unsigned int SIZE = 2; int mydim = 1; SEXP = SEXPREC*]’ Mesh/Source/Rfun_MeshInputHelper.cpp:189:69: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:113:18: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 113 | for(UInt i=0; i::bin_sort_(UInt, std::vector&) [with int mydim = 2; UInt = int]’: Mesh/Source/../Include/Mesh_Input_Helper_imp.h:41:3: required from ‘void simplex_container::bin_sort() [with int mydim = 2]’ Mesh/Source/../Include/Mesh_Input_Helper_imp.h:27:3: required from ‘void simplex_container::fill_container(const std::array&) [with long unsigned int SIZE = 6; int mydim = 2]’ Mesh/Source/../Include/Mesh_Input_Helper.h:58:93: required from ‘simplex_container::simplex_container(SEXP, SEXP, const std::array&) [with long unsigned int SIZE = 6; int mydim = 2; SEXP = SEXPREC*]’ Mesh/Source/Rfun_MeshInputHelper.cpp:19:71: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:61:20: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 61 | for(UInt i=0; i::bin_sort_(UInt, std::vector&) [with int mydim = 3; UInt = int]’: Mesh/Source/../Include/Mesh_Input_Helper_imp.h:41:3: required from ‘void simplex_container::bin_sort() [with int mydim = 3]’ Mesh/Source/../Include/Mesh_Input_Helper_imp.h:27:3: required from ‘void simplex_container::fill_container(const std::array&) [with long unsigned int SIZE = 12; int mydim = 3]’ Mesh/Source/../Include/Mesh_Input_Helper.h:58:93: required from ‘simplex_container::simplex_container(SEXP, SEXP, const std::array&) [with long unsigned int SIZE = 12; int mydim = 3; SEXP = SEXPREC*]’ Mesh/Source/Rfun_MeshInputHelper.cpp:101:74: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:61:20: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Mesh/Source/../Include/Mesh_Input_Helper_imp.h: In instantiation of ‘void simplex_container::bin_sort_(UInt, std::vector&) [with int mydim = 1; UInt = int]’: Mesh/Source/../Include/Mesh_Input_Helper_imp.h:41:3: required from ‘void simplex_container::bin_sort() [with int mydim = 1]’ Mesh/Source/../Include/Mesh_Input_Helper_imp.h:27:3: required from ‘void simplex_container::fill_container(const std::array&) [with long unsigned int SIZE = 2; int mydim = 1]’ Mesh/Source/../Include/Mesh_Input_Helper.h:58:93: required from ‘simplex_container::simplex_container(SEXP, SEXP, const std::array&) [with long unsigned int SIZE = 2; int mydim = 1; SEXP = SEXPREC*]’ Mesh/Source/Rfun_MeshInputHelper.cpp:189:69: required from here Mesh/Source/../Include/Mesh_Input_Helper_imp.h:61:20: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c Regression/Source/Regression_Data.cpp -o Regression/Source/Regression_Data.o In file included from Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:362, from Regression/Source/../Include/Regression_Data.h:5, from Regression/Source/Regression_Data.cpp:1: Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment] 223 | // | \ | ^ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment] 226 | // | \ | ^ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment] 231 | // | \ | ^ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment] 233 | // | \ | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from Regression/Source/../Include/../../FdaPDE.h:32, from Regression/Source/../Include/Regression_Data.h:4: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from Regression/Source/../Include/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ Regression/Source/../Include/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:248:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:349:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:349:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:351:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/../../Mesh/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<6, 2, 2>’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:117:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:119:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:180:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:180:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:180:73: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 1, true>’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:183:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:205:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:205:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 2>’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:206:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:341:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:341:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:341:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:365:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:365:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1>’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:366:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/Regression_Data.h:18:16: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/Regression_Data.h:18:16: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../Include/Regression_Data.h:34:12: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/Regression_Data.cpp: In member function ‘void RegressionData::setObservationsTime(SEXP)’: Regression/Source/Regression_Data.cpp:150:14: warning: unused variable ‘count’ [-Wunused-variable] 150 | UInt count = 0; | ^~~~~ Regression/Source/Regression_Data.cpp: In member function ‘void RegressionData::setCovariates(SEXP)’: Regression/Source/Regression_Data.cpp:182:51: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘UInt’ {aka ‘int’} [-Wsign-compare] 182 | if(observations_na_.size()>k && i==observations_na_[k]) | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:280:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../Include/../../Mesh/Include/Mesh_Objects_imp.h:397:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:16: required from ‘static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:384:60: required from ‘void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:398:25: required from ‘void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::NoChange_t) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ Regression/Source/Regression_Data.cpp:129:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:57:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:161:5: required from ‘Eigen::BlockImpl& Eigen::BlockImpl::operator=(const Eigen::BlockImpl&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:46: required from ‘static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:384:60: required from ‘void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:398:25: required from ‘void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::NoChange_t) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ Regression/Source/Regression_Data.cpp:129:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c Regression/Source/Rfun_Auxiliary.cpp -o Regression/Source/Rfun_Auxiliary.o In file included from Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:362, from Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:6, from Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:5, from Regression/Source/Rfun_Auxiliary.cpp:2: Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment] 223 | // | \ | ^ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment] 226 | // | \ | ^ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment] 231 | // | \ | ^ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment] 233 | // | \ | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from Regression/Source/../../FdaPDE.h:32, from Regression/Source/Rfun_Auxiliary.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from Regression/Source/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ Regression/Source/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:248:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:351:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<6, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:117:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:119:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:73: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 1, true>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:183:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 2, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 3, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 3, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:152:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:81:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/Rfun_Auxiliary.cpp: In function ‘SEXPREC* get_FEM_mass_matrix(SEXP, SEXP, SEXP, SEXP)’: Regression/Source/Rfun_Auxiliary.cpp:61:18: warning: this ‘if’ clause does not guard... [-Wmisleading-indentation] 61 | else if(order==2 && ndim==3 && mydim ==3) | ^~ Regression/Source/Rfun_Auxiliary.cpp:64:17: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘if’ 64 | return(NILSXP); | ^~~~~~ Regression/Source/Rfun_Auxiliary.cpp: In function ‘SEXPREC* get_FEM_stiff_matrix(SEXP, SEXP, SEXP, SEXP)’: Regression/Source/Rfun_Auxiliary.cpp:92:18: warning: this ‘if’ clause does not guard... [-Wmisleading-indentation] 92 | else if(order==2 && ndim==3 && mydim ==3) | ^~ Regression/Source/Rfun_Auxiliary.cpp:95:17: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘if’ 95 | return(NILSXP); | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:21:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:21:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:30: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:21:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:23:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:23:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:23:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:23:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<1, 2, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<1, 2, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:30: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<2, 2, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:27:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<2, 2, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:27:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:30: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:31:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:31:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:31:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:12:8: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:31:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 1, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 1, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<1, 1, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 1, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 1, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 1, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:50:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 1, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 1, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:50:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 1, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 1, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:50:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<2, 1, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 1, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:50:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:280:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:397:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:48:17: required from ‘Point& Point::operator+=(const Point&) [with int ndim = 2]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:23:6: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:21:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Point_imp.h:48:17: required from ‘Point& Point::operator+=(const Point&) [with int ndim = 3]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:23:6: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 2, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 3, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:50:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:50:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 3, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:50:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 3, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:52:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 3, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:52:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 6, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 6, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 6, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 6, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 6, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:54:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:54:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 6, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 6, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 6, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:54:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:54:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 4, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 4, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:60:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:60:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 4, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 4, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 4, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:60:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:60:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 10, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 10, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 10, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:62:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:62:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 10, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 10, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 10, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:62:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:62:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 1, true>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:58:12: required from ‘void Element::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:21:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:58:47: required from ‘void Element::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:21:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:24: required from ‘void Element::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:21:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:175:47: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:56: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 1, true>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:58:12: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:24: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 2, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:45: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 1, 2, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 1, 2, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 1, 2, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 1, 2, false>, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 1, 2, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 1, 2, false>, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:43:23: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 3, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:45: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:50:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 1, 3, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 1, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 1, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 1, 3, false>, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 1, 3, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 1, 3, false>, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:50:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:52:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 3, false>, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:52:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 6, false>, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:54:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 3, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:45: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:56:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:56:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 3, false>, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:56:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 6, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 6, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 6, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 6, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:45: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:58:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 6, false>, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:58:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:60:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 4, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 4, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 4, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 4, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 4, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 4, false>, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:60:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 10, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 10, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 10, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 10, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 10, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 10, false>, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:62:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/OrthoMethods.h:42:51: required from ‘typename Eigen::MatrixBase::cross_product_return_type::type Eigen::MatrixBase::cross(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 3, 1, true>; Derived = Eigen::Block, 3, 1, true>; typename cross_product_return_type::type = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:183:42: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:336:21: required from ‘void Element::computeProperties() [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:35: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:59: required from ‘void Element::computeProperties() [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:35: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:43:23: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:33: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:79:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:33: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:81:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:33: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:83:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:33: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:85:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:33: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:87:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:33: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:89:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:33: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:91:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:33: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:93:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:183:60: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:21:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:344:32: required from ‘void Element::computeProperties() [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:35: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:79:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:81:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:83:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:85:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:87:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:89:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:91:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:93:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 1, 2, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 1, 2, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 1, 2, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 1, 2, false>, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 1, 2, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 1, 2, false>, 0>; ExpressionType = Eigen::Block, 2, 2, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = Eigen::internal::assign_op; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; Derived = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:43:23: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 1, 3, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 1, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 1, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 1, 3, false>, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 1, 3, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 1, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:50:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:52:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 6, false>, 0>; ExpressionType = Eigen::Block, 2, 6, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:54:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 3, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:56:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 6, false>, 0>; ExpressionType = Eigen::Block, 3, 6, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:58:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 4, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 4, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 4, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 4, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 4, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:60:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 10, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 10, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 10, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 10, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 10, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 10, false>, 0>; ExpressionType = Eigen::Block, 3, 10, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:62:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 2, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:23: required from ‘void Element::computeProperties() [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:35: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 3, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:50:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 3, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:50:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 3, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:52:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 3, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 3, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 2, 3, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:52:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 6, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 6, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 6, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 6, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 6, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 6, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 6, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:54:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 6, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 6, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 6, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 6, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 6, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 6, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 2, 6, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:54:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 4, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 4, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 4, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:60:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 4, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 4, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 4, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 4, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 3, 4, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 3, 4, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:60:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 10, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 10, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 10, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 10, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 10, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 10, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 10, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:62:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 10, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 10, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 10, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 10, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 10, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 3, 10, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 3, 10, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:62:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:79:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:81:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:83:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:85:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:87:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:89:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:91:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:96:50: required from ‘Real FiniteElement::stiff_impl(UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:17:26: required from ‘Real Stiff::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:93:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, 2, 1, true>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:58:16: required from ‘void Element::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:21:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 3, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, 3, 1, true>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:58:16: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:172:52: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:336:25: required from ‘void Element::computeProperties() [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:35: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 2, false>; SrcXprType = Eigen::Product >, Eigen::Block, 1, 2, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 2, false>; SrcXprType = Eigen::Product >, Eigen::Block, 1, 2, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 2, false>; Src = Eigen::Product >, Eigen::Block, 1, 2, false>, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 2, 2, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 1, 2, false>, 0>; ExpressionType = Eigen::Block, 2, 2, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 3, false>; SrcXprType = Eigen::Product >, Eigen::Block, 1, 3, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 3, false>; SrcXprType = Eigen::Product >, Eigen::Block, 1, 3, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Product >, Eigen::Block, 1, 3, false>, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 2, 3, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 1, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:50:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 3, false>; SrcXprType = Eigen::Product >, Eigen::Block, 2, 3, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 3, false>; SrcXprType = Eigen::Product >, Eigen::Block, 2, 3, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 3, false>; Src = Eigen::Product >, Eigen::Block, 2, 3, false>, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 3, 3, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 3, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:56:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 6, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 6, false>; SrcXprType = Eigen::Product >, Eigen::Block, 2, 6, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 6, false>; SrcXprType = Eigen::Product >, Eigen::Block, 2, 6, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 6, false>; Src = Eigen::Product >, Eigen::Block, 2, 6, false>, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 3, 6, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 6, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 6, false>, 0>; ExpressionType = Eigen::Block, 3, 6, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:58:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:158:34: required from ‘void Eigen::internal::compute_inverse_size3_helper(const MatrixType&, const typename ResultType::Scalar&, const Eigen::Matrix&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; typename ResultType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:174:33: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 2, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 2, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:52:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 2, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:52:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 3, false>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 3, false>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:52:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 3, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:52:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 6, false>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 6, false>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 6, false>, 0>; ExpressionType = Eigen::Block, 2, 6, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:54:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 6, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 6, false>, 0>; ExpressionType = Eigen::Block, 2, 6, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:54:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 2, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 2, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 3, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:56:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 2, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 3, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:56:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 3, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 3, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:56:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 6, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 6, false>, 0>; ExpressionType = Eigen::Block, 3, 6, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:58:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 3, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 3, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:60:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 3, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:60:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 4, false>, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 4, false>, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:60:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 3, 4, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 3, 4, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:60:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 10, false>, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 10, false>, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 10, false>, 0>; ExpressionType = Eigen::Block, 3, 10, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:62:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 3, 10, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 3, 10, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 10, false>, 0>; ExpressionType = Eigen::Block, 3, 10, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:62:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 3, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:22:16: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:29:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 2, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:52:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 3, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:52:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 6, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 6, false>, 0>; ExpressionType = Eigen::Block, 2, 6, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:54:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 2, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 3, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:56:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 3, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 3, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:60:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 4, false>, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:60:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 10, false>, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 10, false>, 0>; ExpressionType = Eigen::Block, 3, 10, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:62:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:23: required from ‘void Element::computeProperties() [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:35: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:23: required from ‘void Element::computeProperties() [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:35: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Mass; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:48:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 3, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 3, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 3, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 3, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 3, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:20:35: required from ‘SEXPREC* get_integration_points_skeleton(SEXP) [with int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Auxiliary.cpp:25:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:294: In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<10, 3, 3>::Element(Element<10, 3, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 328].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree.h:122, from Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh.h:12, from Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:7: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<10, 3, 3>::Element(Element<10, 3, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 400].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<6, 2, 3>::Element(Element<6, 2, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 208].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<6, 2, 3>::Element(Element<6, 2, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 256].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<3, 2, 3>::Element(Element<3, 2, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 112].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<3, 2, 3>::Element(Element<3, 2, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 160].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Element<3, 2, 3>::Element(Element<3, 2, 3> const&)’, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:168:7: warning: ‘MEM[(const struct Element &)&obj].element_measure’ may be used uninitialized [-Wmaybe-uninitialized] 168 | class Element : public Identifier { | ^~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<4, 3, 3>::Element(Element<4, 3, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 136].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<4, 3, 3>::Element(Element<4, 3, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 208].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c Regression/Source/Rfun_Regression_Laplace.cpp -o Regression/Source/Rfun_Regression_Laplace.o In file included from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:362, from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:6, from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:7, from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:8, from Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:5, from Regression/Source/Rfun_Regression_Laplace.cpp:2: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment] 223 | // | \ | ^ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment] 226 | // | \ | ^ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment] 231 | // | \ | ^ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment] 233 | // | \ | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from Regression/Source/../../FdaPDE.h:32, from Regression/Source/Rfun_Regression_Laplace.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from Regression/Source/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ Regression/Source/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:248:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:351:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<6, 2, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:117:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:119:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:73: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 1, true>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:183:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 2, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 3, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 3, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:152:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:81:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:75: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19: required from ‘class Eigen::HouseholderQR >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:97: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:96: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7: required from ‘class Eigen::MappedSparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:477:54: required from ‘class Eigen::SparseLU >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:53:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::COLAMDOrdering >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:37:41: required from ‘struct Eigen::internal::is_ref_compatible_impl >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:43:81: required from ‘struct Eigen::internal::is_ref_compatible >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:46:49: required from ‘class Eigen::IterativeSolverBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7: required from ‘class Eigen::ConjugateGradient >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:116:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:191:16: required from ‘class Eigen::IncompleteLUT’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:431:18: required from ‘class Eigen::IterativeSolverBase, Eigen::IncompleteLUT > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:158:7: required from ‘class Eigen::BiCGSTAB, Eigen::IncompleteLUT >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:160:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::IncompleteLUT >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::IncompleteLUT >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::IncompleteLUT >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::IncompleteLUT >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:352:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:377:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: recursively required by substitution of ‘template Eigen::PartialPivLU >& Eigen::PartialPivLU >::compute(const Eigen::EigenBase&) [with InputType = ]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: recursively required by substitution of ‘template Eigen::PartialPivLU >& Eigen::PartialPivLU >::compute(const Eigen::EigenBase&) [with InputType = ]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:37: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:401:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:403:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:551:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:360: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In member function ‘void MixedFERegressionBase::buildMatrixNoCov(const SpMat&, const SpMat&, const SpMat&)’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:569:5: warning: this ‘if’ clause does not guard... [-Wmisleading-indentation] 569 | if (regressionData_.isSpaceTime() && !this->isIterative) | ^~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:573:9: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘if’ 573 | std::vector tripletAll; | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:644:59: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:651:75: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:55: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:56: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:60: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:698:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:721:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:757:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:772:234: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:801:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34: required from ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:818:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:818:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34: required from ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:104:7: required from ‘class Eigen::SolveImpl >, Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::SparseMatrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:33: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, 1, -1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1038:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:94: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1470:114: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1470:114: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1474:126: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1474:126: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1484:126: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:137: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:184: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1543:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1543:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:113: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1552:139: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1552:139: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:396:104: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:396:106: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:453:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:56: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:59: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:485:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:485:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Newton.h:109:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:44: recursively required by substitution of ‘template const Eigen::Solve >, Rhs> Eigen::SolverBase > >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:105: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:119: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:124: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:167: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:167: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, Eigen::Dense>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:89: recursively required by substitution of ‘template const Eigen::Solve >, Rhs> Eigen::SolverBase > >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:168: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:169: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:56: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:170:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:171:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:217:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:217:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:243:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:243:57: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:306:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:56: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:96: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:96: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:450:67: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::SparseMatrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:450:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:86: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:86: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:19:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:180:94: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Transpose > >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Transpose > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:180:94: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:208:37: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&)’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:200:68: warning: typedef ‘FunWr’ locally defined but not used [-Wunused-local-typedefs] 200 | typedef Function_Wrapper FunWr; | ^~~~~ In file included from Regression/Source/Rfun_Regression_Laplace.cpp:3: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In function ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&)’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:311:100: warning: typedef ‘FunWr’ locally defined but not used [-Wunused-local-typedefs] 311 | typedef Function_Wrapper, Real, lambda::type<2>, MatrixXr, EvaluationType> FunWr; | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from Regression/Source/Rfun_Regression_Laplace.cpp:4: Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable ‘count’ [-Wunused-variable] 20 | UInt count = 0; | ^~~~~ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_Laplace.cpp:242:51: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable ‘count’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_Laplace.cpp:244:51: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable ‘count’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_Laplace.cpp:246:51: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable ‘count’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_Laplace.cpp:248:51: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable ‘count’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_Laplace.cpp:250:51: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable ‘count’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_Laplace.cpp:252:51: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable ‘count’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_Laplace.cpp:254:51: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable ‘count’ [-Wunused-variable] In file included from Regression/Source/Rfun_Regression_Laplace.cpp:5: Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of ‘SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_Laplace.cpp:319:56: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable ‘SPLINE_DEGREE’ [-Wunused-variable] 16 | constexpr UInt SPLINE_DEGREE = | ^~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of ‘SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_Laplace.cpp:321:56: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable ‘SPLINE_DEGREE’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of ‘SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_Laplace.cpp:323:56: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable ‘SPLINE_DEGREE’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of ‘SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_Laplace.cpp:325:56: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable ‘SPLINE_DEGREE’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of ‘SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_Laplace.cpp:327:56: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable ‘SPLINE_DEGREE’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of ‘SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_Laplace.cpp:329:56: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable ‘SPLINE_DEGREE’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of ‘SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_Laplace.cpp:331:56: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable ‘SPLINE_DEGREE’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of ‘SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_Laplace.cpp:333:56: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable ‘SPLINE_DEGREE’ [-Wunused-variable] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:280:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:397:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:77: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::PermutationMatrix<-1, -1, int>, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::PermutationMatrix<-1, -1, int>, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::PermutationMatrix<-1, -1, int>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:17: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Newton.h:130:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, 1, true>’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:168:75: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Inference_Carrier_imp.h:37:40: required from ‘Inference_Carrier::Inference_Carrier(const InputHandler*, const MixedFERegressionBase*, const output_Data<1>*, const InferenceData*, Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:96:37: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 425 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | for(auto i=0; i < sub_nodes_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 551 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 425 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | for(auto i=0; i < sub_nodes_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 551 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 425 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | for(auto i=0; i < sub_nodes_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 551 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:85:58: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 425 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | for(auto i=0; i < sub_nodes_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 551 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 425 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | for(auto i=0; i < sub_nodes_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 551 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 425 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | for(auto i=0; i < sub_nodes_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 551 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 425 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | for(auto i=0; i < sub_nodes_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 551 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 425 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | for(auto i=0; i < sub_nodes_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 551 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 556 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:174:63: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:176:63: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:178:63: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:180:63: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:182:63: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:184:63: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:186:63: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 16, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:105:51: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:139:25: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:55: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:53: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:22: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 0, Eigen::OuterStride<> >, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:230:68: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:233:58: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 2, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 2, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<1, 2, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<1, 2, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, 2, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, 2, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, 2, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, 2, 1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, 2, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, 2, 1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:10: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:37: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:67: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<2, 2, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:85:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<2, 2, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:85:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:86:34: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:86:20: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 1, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 1, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<1, 1, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 1, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, 1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, 1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, 1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, 1, 1, false>, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, 1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, 1, 1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:17: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:44: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:74: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 1, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 1, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 1, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 1, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 1, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 1, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:73:55: required from ‘class FiniteElementData<2, 1, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 1, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:951:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:754:14: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:597:18: required from ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:166: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:148:65: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:25: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:78: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:70:52: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:79:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:87:15: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:85: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:229:47: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 3, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 3, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 3, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 3, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 3, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 3, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 3, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 3, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 3, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:12: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:425:62: required from ‘void MixedFERegressionBase::buildSpaceTimeMatrices() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:993:9: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:425:57: required from ‘void MixedFERegressionBase::buildSpaceTimeMatrices() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:993:9: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:344:59: required from ‘void MixedFERegressionBase::setDMat() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1000:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:348:17: required from ‘void MixedFERegressionBase::setDMat() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1000:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:352:43: required from ‘void MixedFERegressionBase::setDMat() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1000:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In instantiation of ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:537:40: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 537 | for(UInt i=0; isize(); ++i) | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:551:52: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:422, from Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:7: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] 247 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1303:61: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1326:42: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1344:53: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In instantiation of ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1244:10: warning: unused variable ‘delta’ [-Wunused-variable] 1244 | Real delta = mesh_time_[1] - mesh_time_[0]; // Time interval | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:45: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:109:91: required from ‘void GCV_Family::compute_z_hat_from_f_hat(const VectorXr&) [with InputCarrier = Carrier; int size = 1; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:84:15: required from ‘void GCV_Family::combine_output_prediction(const VectorXr&, output_Data&, UInt) [with InputCarrier = Carrier; int size = 1; VectorXr = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:168:35: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:631:15: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:631:39: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:635:55: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:651:74: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Matrix >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:29: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:40: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:58: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:67:78: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] 247 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:88:71: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:57: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:31: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:187:1: required from ‘const Eigen::ArrayBase > >::RCmpLEReturnType Eigen::operator<=(const ArrayBase > >::Scalar&, const ArrayBase > >&)’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:86:20: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 6, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 6, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 6, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 6, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 6, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 6, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 6, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 6, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 6, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:190:56: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:299:25: required from ‘Real Element::evaluate_point(const Point<3>&, const Eigen::Matrix&) const [with int NNODES = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:190:31: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:299:25: required from ‘Real Element::evaluate_point(const Point<3>&, const Eigen::Matrix&) const [with int NNODES = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:190:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:299:25: required from ‘Real Element::evaluate_point(const Point<3>&, const Eigen::Matrix&) const [with int NNODES = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 4, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 4, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 4, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 4, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 4, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 4, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 4, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 4, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 4, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:31: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:187:1: required from ‘const Eigen::ArrayBase > >::RCmpLEReturnType Eigen::operator<=(const ArrayBase > >::Scalar&, const ArrayBase > >&)’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:86:20: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:17:8: required from ‘struct Eigen::internal::traits, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 10, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 10, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 10, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 10, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 10, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 10, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 10, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 10, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 10, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 10, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 2, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 2, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 2, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 2, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 2, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 2, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:350:34: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:411:27: required from ‘Real Element::evaluate_point(const Point<2>&, const Eigen::Matrix&) const [with int NNODES = 2; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:350:25: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:411:27: required from ‘Real Element::evaluate_point(const Point<2>&, const Eigen::Matrix&) const [with int NNODES = 2; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:196:1: required from ‘const Eigen::ArrayBase::RCmpLTReturnType Eigen::ArrayBase::operator>(const Scalar&) const [with Derived = Eigen::ArrayWrapper >; RCmpLTReturnType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:29: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable ‘ret’ [-Wunused-variable] 263 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1044:43: required from ‘void MixedFERegressionBase::buildSystemMatrix(Real, Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:205:111: required from ‘void MixedFERegressionBase::build_regression_inference(Real, Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:482:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<2>&, const InferenceData&, MixedFERegression&, Real&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:75:30: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1050:44: required from ‘void MixedFERegressionBase::buildSystemMatrix(Real, Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:205:111: required from ‘void MixedFERegressionBase::build_regression_inference(Real, Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:482:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<2>&, const InferenceData&, MixedFERegression&, Real&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:75:30: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable ‘ret’ [-Wunused-variable] 263 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable ‘ret’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable ‘ret’ [-Wunused-variable] In file included from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:8: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Spline.h: In instantiation of ‘Real Spline::BasisFunction_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Spline.h:40:58: required from ‘Real Spline::BasisFunction(UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:611:32: required from ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:85: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 53 | return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:39: warning: suggest parentheses around ‘&&’ within ‘||’ [-Wparentheses] 53 | return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2; /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:183:70: required from ‘void FPIRLS_Base::compute_pseudoObs(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:92:7: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView >’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:308:68: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:311:53: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:219:1: required from ‘const Eigen::ArrayBase::CmpEQReturnType Eigen::ArrayBase::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:115:7: required from ‘const Eigen::MapBase::Scalar& Eigen::MapBase::coeff(Eigen::Index) const [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:116:28: required from ‘static void Eigen::internal::LU_kernel_bmod<1>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:106:31: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:93:13: required from ‘void MixedFERegressionBase::addNA() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:455:9: required from ‘void MixedFERegressionBase::buildSpaceTimeMatrices() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:993:9: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:344:9: required from ‘void MixedFERegressionBase::setDMat() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1000:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:344:9: required from ‘void MixedFERegressionBase::setDMat() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1000:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:10: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:10: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Solve >, Eigen::SparseMatrix >, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Solve >, Eigen::SparseMatrix >, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:39:39: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:94: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:68: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Block, -1, -1, false> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:68: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Solve >, Eigen::Block, -1, -1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Solve >, Eigen::Block, -1, -1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Solve >, Eigen::Block, -1, -1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Solve >, Eigen::Block, -1, -1, false> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Solve >, Eigen::Block, -1, -1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Solve >, Eigen::Block, -1, -1, false> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:47: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Solve >, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Solve >, Eigen::Matrix >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Solve >, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Solve >, Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:43:47: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1452:39: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:64: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1473:114: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1483:99: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1343:34: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1499:85: required from ‘void MixedFERegressionBase::update_rhs(UInt&, Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1353:21: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:713:29: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:453:26: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:58:12: required from ‘void Element::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:24: required from ‘void Element::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 6, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 6, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 6, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 6, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:56: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 4, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:58:12: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:24: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 10, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 10, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:920:52: required from ‘static const Eigen::MatrixBase::BasisReturnType Eigen::MatrixBase::Unit(Eigen::Index) [with Derived = Eigen::Matrix; BasisReturnType = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Eigen::Index = long int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:336:21: required from ‘void Element::computeProperties() [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:59: required from ‘void Element::computeProperties() [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] 247 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable ‘ret’ [-Wunused-variable] 279 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt, lambdaT); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:657:32: required from ‘Derived& Eigen::SparseMatrixBase::operator-=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >; Derived = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1038:25: required from ‘void MixedFERegressionBase::buildSystemMatrix(Real, Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:205:111: required from ‘void MixedFERegressionBase::build_regression_inference(Real, Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:482:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<2>&, const InferenceData&, MixedFERegression&, Real&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:75:30: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] 247 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable ‘ret’ [-Wunused-variable] 279 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt, lambdaT); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] 247 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable ‘ret’ [-Wunused-variable] 279 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt, lambdaT); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] 247 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable ‘ret’ [-Wunused-variable] 279 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt, lambdaT); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Newton.h:130:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82: required from ‘Real FiniteElement::forcing_integrate(UInt, const Real*) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 6, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 6, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 6, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 6, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82: required from ‘Real FiniteElement::forcing_integrate(UInt, const Real*) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/OrthoMethods.h:42:51: required from ‘typename Eigen::MatrixBase::cross_product_return_type::type Eigen::MatrixBase::cross(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 3, 1, true>; Derived = Eigen::Block, 3, 1, true>; typename cross_product_return_type::type = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:183:42: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 6, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 6, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 6, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:85:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:85:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 4, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 4, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 4, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 4, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 4, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 4, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82: required from ‘Real FiniteElement::forcing_integrate(UInt, const Real*) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:110:26: required from ‘Real Element::evaluate_point(const Eigen::Matrix&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:24: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 10, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 10, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 10, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 10, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 10, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 14, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 14, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 14, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 14, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 14, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 14, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 14, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82: required from ‘Real FiniteElement::forcing_integrate(UInt, const Real*) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 1, 2, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 1, 2, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 1, 2, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 1, 2, false>, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 1, 2, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, 1, 1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, 1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, 1, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, 1, 1, false>, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, 1, 1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:654:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, Eigen::Block, 1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:654:8: required from ‘struct Eigen::internal::product_evaluator, Eigen::Block, 1, 1, false>, 0>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, 1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, 1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 1, 3, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 1, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 1, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 1, 3, false>, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 1, 3, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 5, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 5, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 5, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 5, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 5, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 5, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82: required from ‘Real FiniteElement::forcing_integrate(UInt, const Real*) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:801:65: required from ‘void MixedFERegressionBase::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Solve >, Eigen::SparseMatrix >, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Solve >, Eigen::SparseMatrix >, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Solve >, Eigen::SparseMatrix >, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:35: required from ‘void MixedFERegressionBase::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:867:22: required from ‘void MixedFERegressionBase::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In instantiation of ‘void MixedFERegressionBase::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:869:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 869 | for (int i = 0; i < k->size(); ++i) { | ~~^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8: required from ‘struct Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:214:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:54: required from ‘bool Eigen::SparseQR::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SparseQR, Eigen::COLAMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false>, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, -1, -1, false>, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:97: required from ‘bool Eigen::SparseQR::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SparseQR, Eigen::COLAMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:105: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:223:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:183:60: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:85:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:344:32: required from ‘void Element::computeProperties() [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:852:80: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53: required from ‘void Eigen::SparseLUMatrixUReturnType::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; MatrixLType = Eigen::internal::MappedSuperNodalMatrix; MatrixUType = Eigen::MappedSparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:168:35: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:67:78: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:67:78: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:88:71: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:88:71: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Inference_Carrier_imp.h:37:11: required from ‘Inference_Carrier::Inference_Carrier(const InputHandler*, const MixedFERegressionBase*, const output_Data<1>*, const InferenceData*, Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:96:37: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 6, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 4, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 14, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 5, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 5, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 5, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 5, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 5, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 5, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable ‘ret’ [-Wunused-variable] 767 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0)); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 768 | UInt time_ret = AuxiliaryOptimizer::universal_first_updater(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0)); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable ‘ret’ [-Wunused-variable] 789 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 790 | UInt time_ret = AuxiliaryOptimizer::universal_second_updater(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable ‘time_ret_mxd’ [-Wunused-variable] 791 | UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat); | ^~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable ‘ret’ [-Wunused-variable] 767 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0)); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 768 | UInt time_ret = AuxiliaryOptimizer::universal_first_updater(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0)); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable ‘ret’ [-Wunused-variable] 789 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 790 | UInt time_ret = AuxiliaryOptimizer::universal_second_updater(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable ‘time_ret_mxd’ [-Wunused-variable] 791 | UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat); | ^~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable ‘ret’ [-Wunused-variable] 767 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0)); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 768 | UInt time_ret = AuxiliaryOptimizer::universal_first_updater(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0)); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable ‘ret’ [-Wunused-variable] 789 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 790 | UInt time_ret = AuxiliaryOptimizer::universal_second_updater(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable ‘time_ret_mxd’ [-Wunused-variable] 791 | UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat); | ^~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable ‘ret’ [-Wunused-variable] 767 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0)); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 768 | UInt time_ret = AuxiliaryOptimizer::universal_first_updater(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0)); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable ‘ret’ [-Wunused-variable] 789 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 790 | UInt time_ret = AuxiliaryOptimizer::universal_second_updater(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable ‘time_ret_mxd’ [-Wunused-variable] 791 | UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:745:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57: required from ‘void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 2, 1, true>; U = Eigen::Block, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:464:52: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:469:65: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1550:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1550:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:453:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:485:46: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 2, 1, true>; U = Eigen::Block, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::Block, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::Block, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:85:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::Block, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::Block, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 2, 1, true>; U = Eigen::Block, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0> >, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:23: required from ‘void Element::computeProperties() [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 2, 1, true>; U = Eigen::Block, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:466:47: required from ‘void GCV_Exact::set_ddS_and_trddS_mxd_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:787:15: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:501:76: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_second_updater_mxd(AuxiliaryData&, AuxiliaryData&, InputCarrier&, const MatrixXr&, const VectorXr&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:91: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:501:56: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_second_updater_mxd(AuxiliaryData&, AuxiliaryData&, InputCarrier&, const MatrixXr&, const VectorXr&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:91: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:518:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:29: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:64:20: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:86:11: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:23: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:23: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:18: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:11: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:100:20: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:85:22: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IncompleteLUT; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 3, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 3, 1, false>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:51: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Spline.h: In instantiation of ‘Real Spline::BasisFunction_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Spline.h:73:24: required from ‘Real Spline::BasisFunctionDerivative_impl(UInt, UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Spline.h:42:68: required from ‘Real Spline::BasisFunctionDerivative(UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Spline.h:44:67: required from ‘Real Spline::time_mass_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:63:47: required from ‘static void Assembler::operKernel(const Spline&, SpMat&) [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1665:26: required from ‘void MixedSplineRegression::setTimeMass() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:432:21: required from ‘void MixedFERegressionBase::buildSpaceTimeMatrices() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:993:9: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:85: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 53 | return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:39: warning: suggest parentheses around ‘&&’ within ‘||’ [-Wparentheses] 53 | return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2; /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product >, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product >, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>; Derived = Eigen::Block, -1, -1, true>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:631:24: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 6, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 6, 1, false>; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:51: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 6, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:85:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 4, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 4, 1, false>; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:51: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 4, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 4, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 4, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 4, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 4, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 10, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 10, 1, false>; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:51: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 10, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 10, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 10, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 10, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 10, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 14, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 2, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 2, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 2, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 2, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 2, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 2, 1, false>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:51: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 1, 2, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 1, 2, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 1, 2, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 1, 2, false>, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 1, 2, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 1, 3, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 1, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 1, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 1, 3, false>, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 1, 3, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 5, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 5, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 5, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 5, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 5, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 5, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 1; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:940:26: required from ‘void MixedFERegressionBase::computeDegreesOfFreedomStochastic(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:745:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 3, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 3, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:713:13: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Matrix >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Matrix >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:58:16: required from ‘void Element::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 6, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 6, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 6, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 6, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 6, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 6, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 6, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 6, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 6, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 6, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:85:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 4, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 4, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 4, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 4, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 4, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 4, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:58:16: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 10, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 10, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 10, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 10, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 10, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 10, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 10, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 10, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 10, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 10, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:336:25: required from ‘void Element::computeProperties() [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:72:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 1; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:642:29: required from ‘void Eigen::SparseQR_QProduct::evalTo(DesType&) const [with DesType = Eigen::Matrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53: required from ‘void Eigen::SparseLUMatrixUReturnType::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; MatrixLType = Eigen::internal::MappedSuperNodalMatrix; MatrixUType = Eigen::MappedSparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:66: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:715:7: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:715:7: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Matrix >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Matrix >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:172:52: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36: required from ‘void Eigen::SparseQR_QProduct::evalTo(DesType&) const [with DesType = Eigen::Matrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:425:22: required from ‘void MixedFERegressionBase::buildSpaceTimeMatrices() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:993:9: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >; XprType = Eigen::Product, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; XprType = Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1550:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57: required from ‘void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 3, false>; SrcXprType = Eigen::Product >, Eigen::Block, 2, 3, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 3, false>; SrcXprType = Eigen::Product >, Eigen::Block, 2, 3, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 3, false>; Src = Eigen::Product >, Eigen::Block, 2, 3, false>, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 3, 3, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, 3, 3, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 3, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 6, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 6, false>; SrcXprType = Eigen::Product >, Eigen::Block, 2, 6, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 6, false>; SrcXprType = Eigen::Product >, Eigen::Block, 2, 6, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 6, false>; Src = Eigen::Product >, Eigen::Block, 2, 6, false>, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 3, 6, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 6, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, 3, 6, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 6, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, 2, 6, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:85:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:158:34: required from ‘void Eigen::internal::compute_inverse_size3_helper(const MatrixType&, const typename ResultType::Scalar&, const Eigen::Matrix&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; typename ResultType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:174:33: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 2, false>; SrcXprType = Eigen::Product >, Eigen::Block, 1, 2, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 2, false>; SrcXprType = Eigen::Product >, Eigen::Block, 1, 2, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 2, false>; Src = Eigen::Product >, Eigen::Block, 1, 2, false>, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 2, 2, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, 2, 2, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 1, 2, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, 1, 2, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 3, false>; SrcXprType = Eigen::Product >, Eigen::Block, 1, 3, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 3, false>; SrcXprType = Eigen::Product >, Eigen::Block, 1, 3, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Product >, Eigen::Block, 1, 3, false>, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:29: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 2, 3, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, 2, 3, false>; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 1, 3, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, 1, 3, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:93:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:745:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:143:50: required from ‘struct Eigen::internal::sparse_solve_triangular_selector, -1, -1, false>, Eigen::Block, -1, 1, false>, 2, 2, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:189:126: required from ‘void Eigen::TriangularViewImpl::solveInPlace(Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; MatrixType = const Eigen::Block, -1, -1, false>; unsigned int Mode = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:55:25: required from ‘void Eigen::TriangularViewImpl::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block, -1, 1, false>; DstType = Eigen::Block, -1, 1, false>; MatrixType = const Eigen::Block, -1, -1, false>; unsigned int Mode = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; DecType = Eigen::TriangularView, -1, -1, false>, 2>; RhsType = Eigen::Block, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false>, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false>, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false>, 1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, 1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:745:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0>; Derived = Eigen::Block, -1, -1, true>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:635:24: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:67:48: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:22: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:22: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; LhsEval = Eigen::internal::evaluator > >; Res = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:22: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1326:26: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:15: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false>, 1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false>, 1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, false>, 1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 1, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:111: required from ‘bool Element::isPointInside(const Point<2>&) const [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:221:12: required from ‘void FPIRLS_Base::compute_mu(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:99:7: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:52:15: required from ‘static void Eigen::internal::generic_product_impl::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix; ActualLhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8; typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::DenseShape) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:112:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:26: required from ‘void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:29: required from ‘void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:50: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::IncompleteLUT; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:58: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:46: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::IncompleteLUT; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 2>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 2>, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:54: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, 1, false>, -1, 1, true>, 1, true, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1083:71: required from ‘static void Eigen::internal::generic_product_impl, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Eigen::Inverse&, const Rhs&) [with Dest = Eigen::Block, -1, 1, false>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, false>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>; Lhs = Eigen::Inverse >; Rhs = Eigen::Block, -1, 1, false>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:15: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Matrix >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve >, Eigen::Matrix >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:46: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Block, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Block, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:39:42: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:20: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:73: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:127:28: required from ‘Eigen::internal::evaluator >::evaluator(const SolveType&) [with Decomposition = Eigen::SparseLU >; RhsType = Eigen::SparseMatrix; SolveType = Eigen::Solve >, Eigen::SparseMatrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Solve >, Eigen::SparseMatrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:28: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:28: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 2, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 2, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 2, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 3, false>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 3, false>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 3, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1326:26: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1326:26: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, Eigen::Matrix, 0>, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:715:7: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:15: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:15: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 6, false>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 6, false>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 6, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 2, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 2, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 2, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 3, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 6, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:85:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 3, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 3, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 3, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 4, false>, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 4, false>, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 3, 4, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 3, 4, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 10, false>, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 10, false>, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 3, 10, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 3, 10, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:221:12: required from ‘void FPIRLS_Base::compute_mu(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:99:7: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView, -1, -1, true> >; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:35: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:127:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:321:17: required from ‘static void Eigen::internal::sparse_sparse_to_dense_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:55:103: required from ‘static void Eigen::internal::generic_product_impl::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix; ActualLhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8; typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 2, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 3, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1326:26: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 6, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:81:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 2, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 3, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 3, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 4, false>, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 10, false>, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:975:24: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:89:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:221:12: required from ‘void FPIRLS_Base::compute_mu(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:99:7: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:28: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:28: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:22: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:15: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:190:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<3>&) const [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:299:25: required from ‘Real Element::evaluate_point(const Point<3>&, const Eigen::Matrix&) const [with int NNODES = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:350:25: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point<2>&) const [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:411:27: required from ‘Real Element::evaluate_point(const Point<2>&, const Eigen::Matrix&) const [with int NNODES = 2; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1326:26: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:15: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, 2, 1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, 2, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, 2, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, 2, 1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, 2, 1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:30: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionData; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionData; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionData; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 2, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, Eigen::Block, 2, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, 2, 1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Block, 2, 1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Product, Eigen::Block, 2, 1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:23: required from ‘void Element::computeProperties() [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:23: required from ‘void Element::computeProperties() [with int NNODES = 2]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:299:46: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 2; UInt = int; elementPoints = std::array, 2>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:173:12: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; meshElement = Element<2, 1, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 1; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:91:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionData; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionData; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = Stiff; InputHandler = RegressionData]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1577:54: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, -1, false>, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, false>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, false>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, -1, false>, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, false>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, false>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, 1, true>, 1, true, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1083:71: required from ‘static void Eigen::internal::generic_product_impl, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Eigen::Inverse&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::Inverse >; Rhs = Eigen::Block, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product >, Eigen::Block, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:172:63: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, -1, true>, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, true>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, true>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, 2, 1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 3, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:87:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 2, false> >, const Eigen::Block, 2, 1, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, 2, 1, false>, 0>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:104: required from ‘bool Element::isPointInside(const Point<3>&) const [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 3, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 3, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 3, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 3, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 3, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:20: required from ‘void Element::computeProperties() [with int NNODES = 3]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:197:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 3; meshElement = Element<3, 2, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:83:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, false>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionData; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_Laplace.cpp:79:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionData; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_Laplace.cpp:240:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 2; lambda::type = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 606 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 2; lambda::type = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 606 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 2; lambda::type = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 606 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 2; lambda::type = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 606 | UInt ret; | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:342:47: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:26: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:44: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:71: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:64: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip.h:121, from Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:17: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:376:34: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 376 | for(unsigned long int j=0;j, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:455:34: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:468:32: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1003:65: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:46: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:33: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:519:41: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:523:49: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:529:25: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:35: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:540:31: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:552:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 552 | for(unsigned long int j=0; j < V_Partial_f_res_H0.size(); ++j){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:578:31: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:598:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const UInt’ {aka ‘const int’} [-Wsign-compare] 598 | for(unsigned long int j=0; j < n_loc; ++j){ | ~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::SparseMatrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:100: required from ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:109: required from ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:61: required from ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:53: required from ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1197:61: required from ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1197:53: required from ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1190:8: warning: unused variable ‘q’ [-Wunused-variable] 1190 | UInt q = this->inf_car.getq(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:100:32: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:25: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Solve >, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Solve >, Eigen::Matrix >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Solve >, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Solve >, Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:109:32: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:130: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:112: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:42: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:243:65: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:69: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:79: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:33: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:18: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:444:49: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:450:68: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:56: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:56: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:406:39: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_b_setter_iter(MatrixXr&, InputCarrier&, const MatrixXr&, UInt, UInt, bool) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:59: required from ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:395:40: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_b_setter_iter(MatrixXr&, InputCarrier&, const MatrixXr&, UInt, UInt, bool) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:59: required from ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:24: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:56: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:44: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:62: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:78: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:83: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:22: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of ‘Real Eigen_Sign_Flip_Base::compute_CI_aux_beta_pvalue(const VectorXr&, const MatrixXr&, const VectorXr&, const MatrixXr&) const [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1020:25: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:133:32: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 133 | for(unsigned long int j=0;j::compute_CI_aux_f_pvalue(const VectorXr&, UInt) const [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double; VectorXr = Eigen::Matrix; UInt = int]’: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:722:25: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_f_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:622:10: required from here Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:222:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 222 | for(unsigned long int j=0; j < V_partial_res_H0_CI.size(); ++j){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:266:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 266 | for(unsigned long int j=0; j < partial_res_H0_CI.size(); ++j){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:36: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:54: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:62: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:67: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:22: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:56: required from ‘void Speckman_Base::compute_beta_hat() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:33: required from ‘void Speckman_Base::compute_beta_hat() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:25: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:58: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:31: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:48: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:304:62: required from ‘void GCV_Exact::set_T_(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable ‘ret’ [-Wunused-variable] 305 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable ‘ret’ [-Wunused-variable] 324 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable ‘ret’ [-Wunused-variable] 305 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable ‘ret’ [-Wunused-variable] 324 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable ‘ret’ [-Wunused-variable] 305 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable ‘ret’ [-Wunused-variable] 324 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable ‘ret’ [-Wunused-variable] 305 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable ‘ret’ [-Wunused-variable] 324 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:41: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In instantiation of ‘void MixedFERegressionBase::addDirichletBC_matrix() [with InputHandler = RegressionData]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1075:10: required from ‘MatrixXr MixedFERegressionBase::apply_to_b(const MatrixXr&) [with InputHandler = RegressionData; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:234:55: required from ‘MatrixXr Carrier::apply_to_b(const MatrixXr&, lambda::type<2>) [with InputHandler = RegressionData; Extensions = {Temporal}; MatrixXr = Eigen::Matrix; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1014:44: required from ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:60:35: warning: unused variable ‘bc_values’ [-Wunused-variable] 60 | const std::vector * bc_values = regressionData_.getDirichletValues(); | ^~~~~~~~~ In file included from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer.h:438, from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:6: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable ‘ret’ [-Wunused-variable] 203 | const UInt ret = AuxiliaryOptimizer::universal_E_setter(E_, carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable ‘ret’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable ‘ret’ [-Wunused-variable] 147 | const UInt ret = AuxiliaryOptimizer::universal_E_setter(E_, carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable ‘ret’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:229:36: warning: unused variable ‘ret’ [-Wunused-variable] 229 | const UInt ret = AuxiliaryOptimizer::universal_E_setter(E_, carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:229:36: warning: unused variable ‘ret’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:174:36: warning: unused variable ‘ret’ [-Wunused-variable] 174 | const UInt ret = AuxiliaryOptimizer::universal_E_setter(E_, carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:174:36: warning: unused variable ‘ret’ [-Wunused-variable] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7: required from ‘Eigen::CwiseBinaryOpImpl::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; Rhs = const Eigen::Block, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:49: required from ‘Eigen::CwiseBinaryOp::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op; LhsType = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; RhsType = const Eigen::Block, 1, -1, false>; Lhs = Eigen::CwiseNullaryOp, const Eigen::Matrix >; Rhs = Eigen::Block, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/../plugins/CommonCwiseBinaryOps.h:50:1: required from ‘const Eigen::CwiseBinaryOp::Scalar, T, Eigen::internal::has_ReturnType::Scalar, Eigen::internal::scalar_product_op::Scalar> > >::value>::type, typename Eigen::internal::traits::Scalar>, const typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, Eigen::internal::scalar_product_op::Scalar> > >::value>::type>::type, const Derived> Eigen::operator*(const T&, const SparseMatrixBase::StorageBaseType&) [with T = double; Derived = Block, 1, -1, false>; typename internal::promote_scalar_arg::Scalar, T, internal::has_ReturnType::Scalar, internal::scalar_product_op::Scalar> > >::value>::type = double; typename internal::traits::Scalar = double; typename internal::traits::Scalar = double; typename internal::plain_constant_type::Scalar, T, internal::has_ReturnType::Scalar, internal::scalar_product_op::Scalar> > >::value>::type>::type = CwiseNullaryOp, const Matrix >; SparseMatrixBase::StorageBaseType = SparseMatrixBase, 1, -1, false> >]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:29: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable ‘ret’ [-Wunused-variable] 203 | const UInt ret = AuxiliaryOptimizer::universal_E_setter(E_, carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable ‘ret’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable ‘ret’ [-Wunused-variable] 147 | const UInt ret = AuxiliaryOptimizer::universal_E_setter(E_, carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable ‘ret’ [-Wunused-variable] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:894:57: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve >, Eigen::Matrix >; XprType = Eigen::Product >, Eigen::Solve >, Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >; int Options = 0; XprType = Eigen::Product >, Eigen::Solve >, Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:109:32: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:649:18: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_f_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:622:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:239:12: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, -1, 1, true>, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:18: required from ‘void Speckman_Base::compute_beta_hat() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve >, Eigen::Matrix >; XprType = Eigen::Product >, Eigen::Solve >, Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >; int Options = 0; XprType = Eigen::Product >, Eigen::Solve >, Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:109:32: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl >, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:12: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:523:14: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Block, -1, -1, false>, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0>; Derived = Eigen::Block, -1, -1, false>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:395:17: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_b_setter_iter(MatrixXr&, InputCarrier&, const MatrixXr&, UInt, UInt, bool) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:59: required from ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:26: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21: required from ‘void Wald_Exact::compute_B() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:337: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Transpose > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Transpose > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Transpose > >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Transpose > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:26: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:523:14: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:529:9: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:452:23: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose >; DenseRhsType = Eigen::Transpose, -1, -1, false> >; DenseResType = Eigen::Transpose >; LhsEval = Eigen::internal::evaluator > >; Res = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:452:23: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21: required from ‘void Wald_Exact::compute_B() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose >; DenseRhsType = Eigen::Transpose, -1, -1, false> >; DenseResType = Eigen::Transpose >; LhsEval = Eigen::internal::evaluator > >; Res = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21: required from ‘void Wald_Exact::compute_B() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:26: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:452:23: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21: required from ‘void Wald_Exact::compute_B() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:260:25: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:606:71: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:18: required from ‘void Speckman_Base::compute_beta_hat() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 43 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 44 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionData; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:294: In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<6, 2, 3>::Element(Element<6, 2, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 208].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree.h:122, from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/Mesh.h:12, from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:13: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<6, 2, 3>::Element(Element<6, 2, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 256].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<10, 3, 3>::Element(Element<10, 3, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 328].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<10, 3, 3>::Element(Element<10, 3, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 400].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<3, 2, 3>::Element(Element<3, 2, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 112].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<3, 2, 3>::Element(Element<3, 2, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:168:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 160].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Element<3, 2, 3>::Element(Element<3, 2, 3> const&)’, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:168:7: warning: ‘MEM[(const struct Element &)&obj].element_measure’ may be used uninitialized [-Wmaybe-uninitialized] 168 | class Element : public Identifier { | ^~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<4, 3, 3>::Element(Element<4, 3, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 136].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<4, 3, 3>::Element(Element<4, 3, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 208].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c Regression/Source/Rfun_Regression_PDE.cpp -o Regression/Source/Rfun_Regression_PDE.o In file included from Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:362, from Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:6, from Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:5, from Regression/Source/Rfun_Regression_PDE.cpp:2: Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment] 223 | // | \ | ^ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment] 226 | // | \ | ^ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment] 231 | // | \ | ^ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment] 233 | // | \ | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from Regression/Source/../../FdaPDE.h:32, from Regression/Source/Rfun_Regression_PDE.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from Regression/Source/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ Regression/Source/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:248:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:351:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<6, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:117:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:119:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:73: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 1, true>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:183:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 2, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 3, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 3, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:152:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:81:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:75: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19: required from ‘class Eigen::HouseholderQR >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:97: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:96: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7: required from ‘class Eigen::MappedSparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:477:54: required from ‘class Eigen::SparseLU >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:53:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::COLAMDOrdering >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:37:41: required from ‘struct Eigen::internal::is_ref_compatible_impl >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:43:81: required from ‘struct Eigen::internal::is_ref_compatible >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:46:49: required from ‘class Eigen::IterativeSolverBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7: required from ‘class Eigen::ConjugateGradient >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:116:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:191:16: required from ‘class Eigen::IncompleteLUT’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:431:18: required from ‘class Eigen::IterativeSolverBase, Eigen::IncompleteLUT > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:158:7: required from ‘class Eigen::BiCGSTAB, Eigen::IncompleteLUT >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:160:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::IncompleteLUT >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::IncompleteLUT >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::IncompleteLUT >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::IncompleteLUT >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:352:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:377:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: recursively required by substitution of ‘template Eigen::PartialPivLU >& Eigen::PartialPivLU >::compute(const Eigen::EigenBase&) [with InputType = ]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: recursively required by substitution of ‘template Eigen::PartialPivLU >& Eigen::PartialPivLU >::compute(const Eigen::EigenBase&) [with InputType = ]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:37: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:401:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:403:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:551:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:360, from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:8, from Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:5, from Regression/Source/Rfun_Regression_PDE.cpp:3: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In member function ‘void MixedFERegressionBase::buildMatrixNoCov(const SpMat&, const SpMat&, const SpMat&)’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:569:5: warning: this ‘if’ clause does not guard... [-Wmisleading-indentation] 569 | if (regressionData_.isSpaceTime() && !this->isIterative) | ^~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:573:9: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘if’ 573 | std::vector tripletAll; | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:644:59: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:651:75: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:55: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:56: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:60: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:698:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:721:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:757:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:772:234: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:801:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34: required from ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:818:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:818:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34: required from ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:104:7: required from ‘class Eigen::SolveImpl >, Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::SparseMatrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:33: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, 1, -1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1038:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:94: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1470:114: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1470:114: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1474:126: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1474:126: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1484:126: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:137: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:184: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1543:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1543:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:113: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1552:139: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1552:139: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:396:104: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:396:106: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:453:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:56: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:59: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:485:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:485:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Newton.h:109:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:44: recursively required by substitution of ‘template const Eigen::Solve >, Rhs> Eigen::SolverBase > >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:105: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:119: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:124: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:167: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:167: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, Eigen::Dense>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:89: recursively required by substitution of ‘template const Eigen::Solve >, Rhs> Eigen::SolverBase > >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:168: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:169: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:56: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:170:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:171:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:217:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:217:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:243:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:243:57: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:306:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:56: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:96: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:96: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:450:67: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::SparseMatrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:450:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:86: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:86: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:19:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:180:94: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Transpose > >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Transpose > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:180:94: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:208:37: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&)’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:200:68: warning: typedef ‘FunWr’ locally defined but not used [-Wunused-local-typedefs] 200 | typedef Function_Wrapper FunWr; | ^~~~~ In file included from Regression/Source/Rfun_Regression_PDE.cpp:4: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In function ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&)’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:311:100: warning: typedef ‘FunWr’ locally defined but not used [-Wunused-local-typedefs] 311 | typedef Function_Wrapper, Real, lambda::type<2>, MatrixXr, EvaluationType> FunWr; | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from Regression/Source/Rfun_Regression_PDE.cpp:5: Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable ‘count’ [-Wunused-variable] 20 | UInt count = 0; | ^~~~~ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_PDE.cpp:238:52: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable ‘count’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_PDE.cpp:244:52: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable ‘count’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_PDE.cpp:246:52: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable ‘count’ [-Wunused-variable] In file included from Regression/Source/Rfun_Regression_PDE.cpp:6: Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of ‘SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_PDE.cpp:317:58: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable ‘SPLINE_DEGREE’ [-Wunused-variable] 16 | constexpr UInt SPLINE_DEGREE = | ^~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of ‘SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_PDE.cpp:321:58: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable ‘SPLINE_DEGREE’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of ‘SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_PDE.cpp:325:58: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable ‘SPLINE_DEGREE’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of ‘SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_PDE.cpp:329:58: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable ‘SPLINE_DEGREE’ [-Wunused-variable] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:280:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:397:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:77: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::PermutationMatrix<-1, -1, int>, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::PermutationMatrix<-1, -1, int>, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::PermutationMatrix<-1, -1, int>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:17: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Newton.h:130:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, 1, true>’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:168:75: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Inference_Carrier_imp.h:37:40: required from ‘Inference_Carrier::Inference_Carrier(const InputHandler*, const MixedFERegressionBase*, const output_Data<1>*, const InferenceData*, Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:96:37: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 425 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | for(auto i=0; i < sub_nodes_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 551 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:80:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:80:66: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 425 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | for(auto i=0; i < sub_nodes_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 551 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 425 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | for(auto i=0; i < sub_nodes_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 551 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:88:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:88:66: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 425 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | for(auto i=0; i < sub_nodes_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 551 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 556 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:171:71: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:177:71: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:179:71: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 16, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:105:51: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:139:25: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:55: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:53: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:22: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 0, Eigen::OuterStride<> >, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:230:68: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:233:58: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:86:34: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:86:20: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:754:14: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:597:18: required from ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 3, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 3, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 6, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 6, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 6, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 6, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 6, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 6, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 6, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 6, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 4, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 4, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 4, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 4, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 4, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 10, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 10, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 10, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 10, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 10, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 10, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:166: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:148:65: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:25: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:78: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:70:52: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:79:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:87:15: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:85: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:229:47: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 3, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 3, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 3, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 3, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 3, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 3, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 3, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 3, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 3, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:12: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:425:62: required from ‘void MixedFERegressionBase::buildSpaceTimeMatrices() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:993:9: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:425:57: required from ‘void MixedFERegressionBase::buildSpaceTimeMatrices() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:993:9: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:344:59: required from ‘void MixedFERegressionBase::setDMat() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1000:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:348:17: required from ‘void MixedFERegressionBase::setDMat() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1000:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:352:43: required from ‘void MixedFERegressionBase::setDMat() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1000:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In instantiation of ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:537:40: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 537 | for(UInt i=0; isize(); ++i) | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:551:52: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:422, from Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:7: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] 247 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1303:61: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1326:42: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1344:53: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In instantiation of ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1244:10: warning: unused variable ‘delta’ [-Wunused-variable] 1244 | Real delta = mesh_time_[1] - mesh_time_[0]; // Time interval | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:45: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:109:91: required from ‘void GCV_Family::compute_z_hat_from_f_hat(const VectorXr&) [with InputCarrier = Carrier; int size = 1; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:84:15: required from ‘void GCV_Family::combine_output_prediction(const VectorXr&, output_Data&, UInt) [with InputCarrier = Carrier; int size = 1; VectorXr = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:168:35: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:631:15: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:631:39: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:635:55: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:651:74: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Matrix >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:29: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:40: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:58: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:67:78: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] 247 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:88:71: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:57: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:31: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:187:1: required from ‘const Eigen::ArrayBase > >::RCmpLEReturnType Eigen::operator<=(const ArrayBase > >::Scalar&, const ArrayBase > >&)’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:86:20: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 6, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 6, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 6, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 6, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 6, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 6, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:80:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 6, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 6, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 6, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:80:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 4, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 4, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 4, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 4, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 4, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 4, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 4, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 4, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 4, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:57: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:31: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:187:1: required from ‘const Eigen::ArrayBase > >::RCmpLEReturnType Eigen::operator<=(const ArrayBase > >::Scalar&, const ArrayBase > >&)’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:86:20: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:17:8: required from ‘struct Eigen::internal::traits, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 10, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:88:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 10, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 10, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 10, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 10, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 10, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 10, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:88:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 10, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 10, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 10, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:88:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable ‘ret’ [-Wunused-variable] 263 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1044:43: required from ‘void MixedFERegressionBase::buildSystemMatrix(Real, Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:205:111: required from ‘void MixedFERegressionBase::build_regression_inference(Real, Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:482:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<2>&, const InferenceData&, MixedFERegression&, Real&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:75:30: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1050:44: required from ‘void MixedFERegressionBase::buildSystemMatrix(Real, Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:205:111: required from ‘void MixedFERegressionBase::build_regression_inference(Real, Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:482:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<2>&, const InferenceData&, MixedFERegression&, Real&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:75:30: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable ‘ret’ [-Wunused-variable] 263 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable ‘ret’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable ‘ret’ [-Wunused-variable] In file included from Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler.h:8, from Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:6: Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h: In instantiation of ‘Real Spline::BasisFunction_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]’: Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:40:58: required from ‘Real Spline::BasisFunction(UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:611:32: required from ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:85: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 53 | return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:39: warning: suggest parentheses around ‘&&’ within ‘||’ [-Wparentheses] 53 | return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2; /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:183:70: required from ‘void FPIRLS_Base::compute_pseudoObs(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:92:7: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView >’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:308:68: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:311:53: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 3, false>, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 6, false>, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 4, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 4, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 4, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 4, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 4, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 4, false>, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 10, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 10, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 10, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 10, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 10, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 10, false>, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:219:1: required from ‘const Eigen::ArrayBase::CmpEQReturnType Eigen::ArrayBase::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:115:7: required from ‘const Eigen::MapBase::Scalar& Eigen::MapBase::coeff(Eigen::Index) const [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:116:28: required from ‘static void Eigen::internal::LU_kernel_bmod<1>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:106:31: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:93:13: required from ‘void MixedFERegressionBase::addNA() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:455:9: required from ‘void MixedFERegressionBase::buildSpaceTimeMatrices() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:993:9: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:344:9: required from ‘void MixedFERegressionBase::setDMat() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1000:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:344:9: required from ‘void MixedFERegressionBase::setDMat() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1000:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:10: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:10: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Solve >, Eigen::SparseMatrix >, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Solve >, Eigen::SparseMatrix >, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:39:39: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:94: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:68: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Block, -1, -1, false> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:68: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Solve >, Eigen::Block, -1, -1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Solve >, Eigen::Block, -1, -1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Solve >, Eigen::Block, -1, -1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Solve >, Eigen::Block, -1, -1, false> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Solve >, Eigen::Block, -1, -1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Solve >, Eigen::Block, -1, -1, false> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:47: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Solve >, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Solve >, Eigen::Matrix >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Solve >, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Solve >, Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:43:47: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1452:39: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:64: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1473:114: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1483:99: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1343:34: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1499:85: required from ‘void MixedFERegressionBase::update_rhs(UInt&, Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1353:21: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:713:29: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:453:26: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:58:12: required from ‘void Element::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:24: required from ‘void Element::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:58:12: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:24: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:920:52: required from ‘static const Eigen::MatrixBase::BasisReturnType Eigen::MatrixBase::Unit(Eigen::Index) [with Derived = Eigen::Matrix; BasisReturnType = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Eigen::Index = long int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:88:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] 247 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable ‘ret’ [-Wunused-variable] 279 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt, lambdaT); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:657:32: required from ‘Derived& Eigen::SparseMatrixBase::operator-=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >; Derived = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1038:25: required from ‘void MixedFERegressionBase::buildSystemMatrix(Real, Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:205:111: required from ‘void MixedFERegressionBase::build_regression_inference(Real, Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:482:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<2>&, const InferenceData&, MixedFERegression&, Real&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:75:30: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] 247 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable ‘ret’ [-Wunused-variable] 279 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt, lambdaT); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] 247 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable ‘ret’ [-Wunused-variable] 279 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt, lambdaT); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] 247 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable ‘ret’ [-Wunused-variable] 279 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt, lambdaT); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Newton.h:130:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82: required from ‘Real FiniteElement::forcing_integrate(UInt, const Real*) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 6, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 6, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 6, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 6, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:80:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:80:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82: required from ‘Real FiniteElement::forcing_integrate(UInt, const Real*) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:80:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 4, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82: required from ‘Real FiniteElement::forcing_integrate(UInt, const Real*) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:110:26: required from ‘Real Element::evaluate_point(const Eigen::Matrix&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:24: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 14, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 14, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 14, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 14, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:88:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 14, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 14, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 14, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:88:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:88:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:88:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82: required from ‘Real FiniteElement::forcing_integrate(UInt, const Real*) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:88:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:801:65: required from ‘void MixedFERegressionBase::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Solve >, Eigen::SparseMatrix >, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Solve >, Eigen::SparseMatrix >, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Solve >, Eigen::SparseMatrix >, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:35: required from ‘void MixedFERegressionBase::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:867:22: required from ‘void MixedFERegressionBase::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In instantiation of ‘void MixedFERegressionBase::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:869:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 869 | for (int i = 0; i < k->size(); ++i) { | ~~^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8: required from ‘struct Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:214:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:54: required from ‘bool Eigen::SparseQR::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SparseQR, Eigen::COLAMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false>, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, -1, -1, false>, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:97: required from ‘bool Eigen::SparseQR::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SparseQR, Eigen::COLAMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:105: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:223:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:852:80: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53: required from ‘void Eigen::SparseLUMatrixUReturnType::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; MatrixLType = Eigen::internal::MappedSuperNodalMatrix; MatrixUType = Eigen::MappedSparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:168:35: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:67:78: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:67:78: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:88:71: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:88:71: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Inference_Carrier_imp.h:37:11: required from ‘Inference_Carrier::Inference_Carrier(const InputHandler*, const MixedFERegressionBase*, const output_Data<1>*, const InferenceData*, Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:96:37: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 6, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:80:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 4, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 14, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:88:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable ‘ret’ [-Wunused-variable] 767 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0)); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 768 | UInt time_ret = AuxiliaryOptimizer::universal_first_updater(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0)); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable ‘ret’ [-Wunused-variable] 789 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 790 | UInt time_ret = AuxiliaryOptimizer::universal_second_updater(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable ‘time_ret_mxd’ [-Wunused-variable] 791 | UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat); | ^~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable ‘ret’ [-Wunused-variable] 767 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0)); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 768 | UInt time_ret = AuxiliaryOptimizer::universal_first_updater(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0)); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable ‘ret’ [-Wunused-variable] 789 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 790 | UInt time_ret = AuxiliaryOptimizer::universal_second_updater(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable ‘time_ret_mxd’ [-Wunused-variable] 791 | UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat); | ^~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable ‘ret’ [-Wunused-variable] 767 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0)); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 768 | UInt time_ret = AuxiliaryOptimizer::universal_first_updater(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0)); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable ‘ret’ [-Wunused-variable] 789 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 790 | UInt time_ret = AuxiliaryOptimizer::universal_second_updater(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable ‘time_ret_mxd’ [-Wunused-variable] 791 | UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat); | ^~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable ‘ret’ [-Wunused-variable] 767 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0)); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 768 | UInt time_ret = AuxiliaryOptimizer::universal_first_updater(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0)); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable ‘ret’ [-Wunused-variable] 789 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 790 | UInt time_ret = AuxiliaryOptimizer::universal_second_updater(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable ‘time_ret_mxd’ [-Wunused-variable] 791 | UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:745:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:35:35: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 6, false>, 0>; ExpressionType = Eigen::Block, 2, 6, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 4, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 4, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 4, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 4, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 4, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:35:35: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 10, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 10, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 10, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 10, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 10, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 10, false>, 0>; ExpressionType = Eigen::Block, 3, 10, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57: required from ‘void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:464:52: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:469:65: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1550:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1550:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:453:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:485:46: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:466:47: required from ‘void GCV_Exact::set_ddS_and_trddS_mxd_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:787:15: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:501:76: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_second_updater_mxd(AuxiliaryData&, AuxiliaryData&, InputCarrier&, const MatrixXr&, const VectorXr&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:91: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:501:56: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_second_updater_mxd(AuxiliaryData&, AuxiliaryData&, InputCarrier&, const MatrixXr&, const VectorXr&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:91: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:518:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 3, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 3, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 3, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 2, 3, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:103:64: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 6, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 6, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 6, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 6, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 6, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 6, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 6, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 6, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 6, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 6, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 6, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 6, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 6, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 2, 6, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:103:64: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 4, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 4, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 4, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 4, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 4, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 4, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 4, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 3, 4, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 3, 4, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:103:64: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 10, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 10, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 10, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 10, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 10, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 10, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 10, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 10, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 10, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 10, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 10, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 10, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 3, 10, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 3, 10, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:103:64: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:29: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:64:20: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:86:11: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:23: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:23: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:18: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:11: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:100:20: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:85:22: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IncompleteLUT; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 3, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 3, 1, false>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:51: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h: In instantiation of ‘Real Spline::BasisFunction_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]’: Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:73:24: required from ‘Real Spline::BasisFunctionDerivative_impl(UInt, UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:42:68: required from ‘Real Spline::BasisFunctionDerivative(UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:44:67: required from ‘Real Spline::time_mass_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:63:47: required from ‘static void Assembler::operKernel(const Spline&, SpMat&) [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1665:26: required from ‘void MixedSplineRegression::setTimeMass() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:432:21: required from ‘void MixedFERegressionBase::buildSpaceTimeMatrices() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:993:9: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:85: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 53 | return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:39: warning: suggest parentheses around ‘&&’ within ‘||’ [-Wparentheses] 53 | return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2; /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product >, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product >, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>; Derived = Eigen::Block, -1, -1, true>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:631:24: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 6, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 6, 1, false>; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:51: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:80:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 6, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:80:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 4, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 4, 1, false>; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:51: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 10, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 10, 1, false>; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:51: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:88:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 14, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:88:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:940:26: required from ‘void MixedFERegressionBase::computeDegreesOfFreedomStochastic(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:745:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:713:13: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Matrix >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Matrix >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:58:16: required from ‘void Element::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:58:16: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 2, 1, true>; U = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 2, 1, true>; U = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:642:29: required from ‘void Eigen::SparseQR_QProduct::evalTo(DesType&) const [with DesType = Eigen::Matrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53: required from ‘void Eigen::SparseLUMatrixUReturnType::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; MatrixLType = Eigen::internal::MappedSuperNodalMatrix; MatrixUType = Eigen::MappedSparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:66: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:715:7: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:715:7: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Matrix >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Matrix >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:172:52: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36: required from ‘void Eigen::SparseQR_QProduct::evalTo(DesType&) const [with DesType = Eigen::Matrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:425:22: required from ‘void MixedFERegressionBase::buildSpaceTimeMatrices() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:993:9: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >; XprType = Eigen::Product, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; XprType = Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1550:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57: required from ‘void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:158:34: required from ‘void Eigen::internal::compute_inverse_size3_helper(const MatrixType&, const typename ResultType::Scalar&, const Eigen::Matrix&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; typename ResultType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:174:33: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:745:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:143:50: required from ‘struct Eigen::internal::sparse_solve_triangular_selector, -1, -1, false>, Eigen::Block, -1, 1, false>, 2, 2, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:189:126: required from ‘void Eigen::TriangularViewImpl::solveInPlace(Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; MatrixType = const Eigen::Block, -1, -1, false>; unsigned int Mode = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:55:25: required from ‘void Eigen::TriangularViewImpl::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block, -1, 1, false>; DstType = Eigen::Block, -1, 1, false>; MatrixType = const Eigen::Block, -1, -1, false>; unsigned int Mode = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; DecType = Eigen::TriangularView, -1, -1, false>, 2>; RhsType = Eigen::Block, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:745:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0>; Derived = Eigen::Block, -1, -1, true>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:635:24: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:67:48: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:22: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:22: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; LhsEval = Eigen::internal::evaluator > >; Res = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:22: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1326:26: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:15: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:221:12: required from ‘void FPIRLS_Base::compute_mu(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:99:7: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:52:15: required from ‘static void Eigen::internal::generic_product_impl::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix; ActualLhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8; typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::DenseShape) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:112:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 2, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 2, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 2, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 3, false>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 3, false>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 3, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 6, false>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 6, false>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 6, false>, 0>; ExpressionType = Eigen::Block, 2, 6, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 6, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 6, false>, 0>; ExpressionType = Eigen::Block, 2, 6, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 3, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 3, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 3, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 4, false>, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 4, false>, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 3, 4, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 3, 4, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 10, false>, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 10, false>, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 10, false>, 0>; ExpressionType = Eigen::Block, 3, 10, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 3, 10, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 3, 10, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 10, false>, 0>; ExpressionType = Eigen::Block, 3, 10, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:26: required from ‘void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:29: required from ‘void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:50: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::IncompleteLUT; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:58: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:46: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::IncompleteLUT; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 2>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 2>, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:54: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, 1, false>, -1, 1, true>, 1, true, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1083:71: required from ‘static void Eigen::internal::generic_product_impl, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Eigen::Inverse&, const Rhs&) [with Dest = Eigen::Block, -1, 1, false>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, false>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>; Lhs = Eigen::Inverse >; Rhs = Eigen::Block, -1, 1, false>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:15: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Matrix >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve >, Eigen::Matrix >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:46: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Block, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Block, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:39:42: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:20: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:73: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:127:28: required from ‘Eigen::internal::evaluator >::evaluator(const SolveType&) [with Decomposition = Eigen::SparseLU >; RhsType = Eigen::SparseMatrix; SolveType = Eigen::Solve >, Eigen::SparseMatrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Solve >, Eigen::SparseMatrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:28: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:28: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1326:26: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1326:26: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, Eigen::Matrix, 0>, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:715:7: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:15: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:15: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:221:12: required from ‘void FPIRLS_Base::compute_mu(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:99:7: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView, -1, -1, true> >; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:35: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:127:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:321:17: required from ‘static void Eigen::internal::sparse_sparse_to_dense_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:55:103: required from ‘static void Eigen::internal::generic_product_impl::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix; ActualLhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8; typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 2, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 3, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 6, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 6, false>, 0>; ExpressionType = Eigen::Block, 2, 6, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 3, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 3, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 4, false>, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 3, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true>, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, 3, 1, true>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 3, 1, true>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 10, false>, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 10, false>, 0>; ExpressionType = Eigen::Block, 3, 10, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true>, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, 3, 1, true>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 3, 1, true>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, 2, 1, true>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 1, true>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, 2, 1, true>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 1, true>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1326:26: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:221:12: required from ‘void FPIRLS_Base::compute_mu(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:99:7: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true>, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:383:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true>, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:385:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:28: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:28: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:22: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:15: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr, EOMult> >, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1326:26: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:15: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:30: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataElliptic; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataElliptic; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataElliptic; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataElliptic; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataElliptic; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOMult> >, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataElliptic]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1601:59: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, -1, false>, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, false>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, false>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, -1, false>, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, false>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, false>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, 1, true>, 1, true, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1083:71: required from ‘static void Eigen::internal::generic_product_impl, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Eigen::Inverse&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::Inverse >; Rhs = Eigen::Block, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product >, Eigen::Block, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:169:71: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, -1, true>, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, true>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, true>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 3, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:86:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, false>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataElliptic; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE.cpp:78:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataElliptic; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:386:54: required from ‘void FPIRLS::apply() [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE.cpp:236:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 2; lambda::type = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 606 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 2; lambda::type = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 606 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 2; lambda::type = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 606 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 2; lambda::type = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 606 | UInt ret; | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:342:47: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:26: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:44: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:71: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:64: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip.h:121, from Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:17: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:376:34: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 376 | for(unsigned long int j=0;j, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:455:34: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:468:32: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1003:65: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:46: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:33: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:519:41: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:523:49: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:529:25: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:35: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:540:31: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:552:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 552 | for(unsigned long int j=0; j < V_Partial_f_res_H0.size(); ++j){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:578:31: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:598:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const UInt’ {aka ‘const int’} [-Wsign-compare] 598 | for(unsigned long int j=0; j < n_loc; ++j){ | ~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::SparseMatrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:100: required from ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:109: required from ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:61: required from ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:53: required from ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1197:61: required from ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1197:53: required from ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1190:8: warning: unused variable ‘q’ [-Wunused-variable] 1190 | UInt q = this->inf_car.getq(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:100:32: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:25: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Solve >, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Solve >, Eigen::Matrix >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Solve >, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Solve >, Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:109:32: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:130: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:112: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:42: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:243:65: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:69: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:79: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:33: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:18: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:444:49: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:450:68: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:56: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:56: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:406:39: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_b_setter_iter(MatrixXr&, InputCarrier&, const MatrixXr&, UInt, UInt, bool) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:59: required from ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:395:40: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_b_setter_iter(MatrixXr&, InputCarrier&, const MatrixXr&, UInt, UInt, bool) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:59: required from ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:24: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:56: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:44: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:62: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:78: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:83: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:22: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of ‘Real Eigen_Sign_Flip_Base::compute_CI_aux_beta_pvalue(const VectorXr&, const MatrixXr&, const VectorXr&, const MatrixXr&) const [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1020:25: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:133:32: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 133 | for(unsigned long int j=0;j::compute_CI_aux_f_pvalue(const VectorXr&, UInt) const [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double; VectorXr = Eigen::Matrix; UInt = int]’: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:722:25: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_f_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:622:10: required from here Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:222:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 222 | for(unsigned long int j=0; j < V_partial_res_H0_CI.size(); ++j){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:266:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 266 | for(unsigned long int j=0; j < partial_res_H0_CI.size(); ++j){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:36: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:54: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:62: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:67: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:22: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:56: required from ‘void Speckman_Base::compute_beta_hat() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:33: required from ‘void Speckman_Base::compute_beta_hat() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:25: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:58: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:31: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:48: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:304:62: required from ‘void GCV_Exact::set_T_(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable ‘ret’ [-Wunused-variable] 305 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable ‘ret’ [-Wunused-variable] 324 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable ‘ret’ [-Wunused-variable] 305 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable ‘ret’ [-Wunused-variable] 324 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable ‘ret’ [-Wunused-variable] 305 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable ‘ret’ [-Wunused-variable] 324 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable ‘ret’ [-Wunused-variable] 305 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable ‘ret’ [-Wunused-variable] 324 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:41: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In instantiation of ‘void MixedFERegressionBase::addDirichletBC_matrix() [with InputHandler = RegressionDataElliptic]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1075:10: required from ‘MatrixXr MixedFERegressionBase::apply_to_b(const MatrixXr&) [with InputHandler = RegressionDataElliptic; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:234:55: required from ‘MatrixXr Carrier::apply_to_b(const MatrixXr&, lambda::type<2>) [with InputHandler = RegressionDataElliptic; Extensions = {Temporal}; MatrixXr = Eigen::Matrix; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1014:44: required from ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:60:35: warning: unused variable ‘bc_values’ [-Wunused-variable] 60 | const std::vector * bc_values = regressionData_.getDirichletValues(); | ^~~~~~~~~ In file included from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer.h:438, from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:6: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable ‘ret’ [-Wunused-variable] 203 | const UInt ret = AuxiliaryOptimizer::universal_E_setter(E_, carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable ‘ret’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable ‘ret’ [-Wunused-variable] 147 | const UInt ret = AuxiliaryOptimizer::universal_E_setter(E_, carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable ‘ret’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:229:36: warning: unused variable ‘ret’ [-Wunused-variable] 229 | const UInt ret = AuxiliaryOptimizer::universal_E_setter(E_, carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:229:36: warning: unused variable ‘ret’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:174:36: warning: unused variable ‘ret’ [-Wunused-variable] 174 | const UInt ret = AuxiliaryOptimizer::universal_E_setter(E_, carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:174:36: warning: unused variable ‘ret’ [-Wunused-variable] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7: required from ‘Eigen::CwiseBinaryOpImpl::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; Rhs = const Eigen::Block, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:49: required from ‘Eigen::CwiseBinaryOp::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op; LhsType = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; RhsType = const Eigen::Block, 1, -1, false>; Lhs = Eigen::CwiseNullaryOp, const Eigen::Matrix >; Rhs = Eigen::Block, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/../plugins/CommonCwiseBinaryOps.h:50:1: required from ‘const Eigen::CwiseBinaryOp::Scalar, T, Eigen::internal::has_ReturnType::Scalar, Eigen::internal::scalar_product_op::Scalar> > >::value>::type, typename Eigen::internal::traits::Scalar>, const typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, Eigen::internal::scalar_product_op::Scalar> > >::value>::type>::type, const Derived> Eigen::operator*(const T&, const SparseMatrixBase::StorageBaseType&) [with T = double; Derived = Block, 1, -1, false>; typename internal::promote_scalar_arg::Scalar, T, internal::has_ReturnType::Scalar, internal::scalar_product_op::Scalar> > >::value>::type = double; typename internal::traits::Scalar = double; typename internal::traits::Scalar = double; typename internal::plain_constant_type::Scalar, T, internal::has_ReturnType::Scalar, internal::scalar_product_op::Scalar> > >::value>::type>::type = CwiseNullaryOp, const Matrix >; SparseMatrixBase::StorageBaseType = SparseMatrixBase, 1, -1, false> >]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:29: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable ‘ret’ [-Wunused-variable] 203 | const UInt ret = AuxiliaryOptimizer::universal_E_setter(E_, carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable ‘ret’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable ‘ret’ [-Wunused-variable] 147 | const UInt ret = AuxiliaryOptimizer::universal_E_setter(E_, carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable ‘ret’ [-Wunused-variable] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:894:57: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve >, Eigen::Matrix >; XprType = Eigen::Product >, Eigen::Solve >, Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >; int Options = 0; XprType = Eigen::Product >, Eigen::Solve >, Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:109:32: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:649:18: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_f_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:622:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:239:12: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, -1, 1, true>, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:18: required from ‘void Speckman_Base::compute_beta_hat() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve >, Eigen::Matrix >; XprType = Eigen::Product >, Eigen::Solve >, Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >; int Options = 0; XprType = Eigen::Product >, Eigen::Solve >, Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:109:32: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl >, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:12: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:523:14: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Block, -1, -1, false>, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0>; Derived = Eigen::Block, -1, -1, false>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:395:17: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_b_setter_iter(MatrixXr&, InputCarrier&, const MatrixXr&, UInt, UInt, bool) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:59: required from ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:26: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21: required from ‘void Wald_Exact::compute_B() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:337: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Transpose > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Transpose > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Transpose > >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Transpose > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:26: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:523:14: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:529:9: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:452:23: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose >; DenseRhsType = Eigen::Transpose, -1, -1, false> >; DenseResType = Eigen::Transpose >; LhsEval = Eigen::internal::evaluator > >; Res = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:452:23: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21: required from ‘void Wald_Exact::compute_B() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose >; DenseRhsType = Eigen::Transpose, -1, -1, false> >; DenseResType = Eigen::Transpose >; LhsEval = Eigen::internal::evaluator > >; Res = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21: required from ‘void Wald_Exact::compute_B() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:26: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:452:23: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21: required from ‘void Wald_Exact::compute_B() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:260:25: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:606:71: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:18: required from ‘void Speckman_Base::compute_beta_hat() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 43 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 44 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataElliptic; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:294: In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<10, 3, 3>::Element(Element<10, 3, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 328].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree.h:122, from Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh.h:12, from Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:7: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<10, 3, 3>::Element(Element<10, 3, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 400].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<4, 3, 3>::Element(Element<4, 3, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 136].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<4, 3, 3>::Element(Element<4, 3, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 208].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp -o Regression/Source/Rfun_Regression_PDE_Space_Varying.o In file included from Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:362, from Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:6, from Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:5, from Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:2: Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:223:3: warning: multi-line comment [-Wcomment] 223 | // | \ | ^ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:226:3: warning: multi-line comment [-Wcomment] 226 | // | \ | ^ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:231:3: warning: multi-line comment [-Wcomment] 231 | // | \ | ^ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:233:3: warning: multi-line comment [-Wcomment] 233 | // | \ | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/StdVector:14, from Regression/Source/../../FdaPDE.h:32, from Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from Regression/Source/../../FdaPDE.h:33: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ Regression/Source/../../FdaPDE.h:48:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:15:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:54:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Integration.h:123:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:246:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:248:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:351:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<6, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:117:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:119:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:138:33: required from ‘class Element<10, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:130:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:132:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:40: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:180:73: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 1, true>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:183:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:205:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:206:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:341:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:365:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:366:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:45: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:64:25: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:69:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:74:22: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 2, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 2, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 2, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 2, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 2, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:134:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 3, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:8: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 3, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:15: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:152:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:164:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:81:24: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:75: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:242:19: required from ‘class Eigen::HouseholderQR >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:97: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:96: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7: required from ‘class Eigen::MappedSparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:477:54: required from ‘class Eigen::SparseLU >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:53:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::COLAMDOrdering >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:37:41: required from ‘struct Eigen::internal::is_ref_compatible_impl >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:43:81: required from ‘struct Eigen::internal::is_ref_compatible >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:46:49: required from ‘class Eigen::IterativeSolverBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:158:7: required from ‘class Eigen::ConjugateGradient >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:116:35: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:191:16: required from ‘class Eigen::IncompleteLUT’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:431:18: required from ‘class Eigen::IterativeSolverBase, Eigen::IncompleteLUT > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:158:7: required from ‘class Eigen::BiCGSTAB, Eigen::IncompleteLUT >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:160:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::IncompleteLUT >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::IncompleteLUT >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::IncompleteLUT >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::IncompleteLUT >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:352:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:377:27: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: recursively required by substitution of ‘template Eigen::PartialPivLU >& Eigen::PartialPivLU >::compute(const Eigen::EigenBase&) [with InputType = ]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:48: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: recursively required by substitution of ‘template Eigen::PartialPivLU >& Eigen::PartialPivLU >::compute(const Eigen::EigenBase&) [with InputType = ]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:37: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:401:13: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:403:34: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:551:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:360, from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:8, from Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:5, from Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:3: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In member function ‘void MixedFERegressionBase::buildMatrixNoCov(const SpMat&, const SpMat&, const SpMat&)’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:569:5: warning: this ‘if’ clause does not guard... [-Wmisleading-indentation] 569 | if (regressionData_.isSpaceTime() && !this->isIterative) | ^~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:573:9: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘if’ 573 | std::vector tripletAll; | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:644:59: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:651:75: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:55: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:56: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:60: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:698:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:721:39: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:757:76: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:772:234: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:801:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34: required from ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:818:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:818:32: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34: required from ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:104:7: required from ‘class Eigen::SolveImpl >, Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::SparseMatrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:42: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:33: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, 1, -1, false> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:936:33: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1038:54: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:94: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:95: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:66: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1470:114: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1470:114: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1474:126: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1474:126: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1484:126: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:137: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:184: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1543:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1543:182: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:113: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:186: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1552:139: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1552:139: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:396:104: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:396:106: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:453:41: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:56: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:59: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:485:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:485:51: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Newton.h:109:52: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:44: recursively required by substitution of ‘template const Eigen::Solve >, Rhs> Eigen::SolverBase > >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:105: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:119: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:124: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:167: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:167: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, Eigen::Dense>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:89: recursively required by substitution of ‘template const Eigen::Solve >, Rhs> Eigen::SolverBase > >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:168: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:169: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:56: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:170:58: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:171:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:62: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:217:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:217:36: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:243:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:243:57: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:53: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:87: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:306:29: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:46: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:56: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:96: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:96: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:450:67: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::SparseMatrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:450:85: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:86: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:86: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:19:47: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:180:94: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Transpose > >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Transpose > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:180:94: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:208:37: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&)’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:200:68: warning: typedef ‘FunWr’ locally defined but not used [-Wunused-local-typedefs] 200 | typedef Function_Wrapper FunWr; | ^~~~~ In file included from Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:4: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In function ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&)’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:311:100: warning: typedef ‘FunWr’ locally defined but not used [-Wunused-local-typedefs] 311 | typedef Function_Wrapper, Real, lambda::type<2>, MatrixXr, EvaluationType> FunWr; | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:43: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:49: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:5: Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable ‘count’ [-Wunused-variable] 20 | UInt count = 0; | ^~~~~ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:245:64: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable ‘count’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:251:64: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable ‘count’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton.h: In instantiation of ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:253:64: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:20:14: warning: unused variable ‘count’ [-Wunused-variable] In file included from Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:6: Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of ‘SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:322:69: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable ‘SPLINE_DEGREE’ [-Wunused-variable] 16 | constexpr UInt SPLINE_DEGREE = | ^~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of ‘SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:324:69: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable ‘SPLINE_DEGREE’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of ‘SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:326:69: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable ‘SPLINE_DEGREE’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h: In instantiation of ‘SEXPREC* GAM_skeleton_time(InputHandler&, OptimizationData&, SEXP, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’: Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:328:69: required from here Regression/Source/../../Skeletons/Include/GAM_Skeleton_time.h:16:20: warning: unused variable ‘SPLINE_DEGREE’ [-Wunused-variable] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 2, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 2, 2>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 2, 2>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<1, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<1, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:65:50: required from ‘class FiniteElementData<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:69:56: required from ‘class FiniteElementData<2, 3, 3>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:87:7: required from ‘class FiniteElement<2, 3, 3>’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:38:36: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:280:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:397:28: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:77: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::PermutationMatrix<-1, -1, int>, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::PermutationMatrix<-1, -1, int>, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::PermutationMatrix<-1, -1, int>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:601:17: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Newton.h:130:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, 1, true>’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:168:75: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Inference_Carrier_imp.h:37:40: required from ‘Inference_Carrier::Inference_Carrier(const InputHandler*, const MixedFERegressionBase*, const output_Data<1>*, const InferenceData*, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:96:37: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 425 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | for(auto i=0; i < sub_nodes_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 551 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 425 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | for(auto i=0; i < sub_nodes_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 551 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 425 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | for(auto i=0; i < sub_nodes_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 551 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:402:55: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In instantiation of ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:425:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 425 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:512:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | for(auto i=0; i < sub_nodes_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:546:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:551:25: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 551 | for(UInt i=0; i < locations_index.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 556 | for(UInt i=0; i < row_indices.size(); ++i){ | ~~^~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:178:83: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:184:83: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h: In instantiation of ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3]’: Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:186:83: required from here Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:556:21: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 16, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:105:51: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:139:25: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:55: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:53: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:22: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:492:33: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 0, Eigen::OuterStride<> >, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:230:68: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:233:58: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:86:34: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:86:20: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:754:14: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:597:18: required from ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 3, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 3, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 3, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 6, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 6, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 6, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 6, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 6, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 6, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 6, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 6, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 6, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 4, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 4, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 4, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 4, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 4, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 4, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 4, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 4, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 10, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 10, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, 10, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 10, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:19: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:93: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 10, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 10, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 3, 10, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 3, 10, false>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:48: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:136: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0>, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:166: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:148:65: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:25: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:78: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:70:52: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:79:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:87:15: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:415:85: required from ‘void Eigen::SparseQR::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:130:7: required from ‘void Eigen::SparseQR::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:75:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:229:47: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::analyzePattern(const _MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:162:21: required from ‘Eigen::IncompleteLUT<_Scalar, _StorageIndex>& Eigen::IncompleteLUT<_Scalar, _StorageIndex>::compute(const MatrixType&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:241:29: required from ‘Derived& Eigen::IterativeSolverBase::compute(const Eigen::EigenBase&) [with MatrixDerived = Eigen::SparseMatrix; Derived = Eigen::BiCGSTAB, Eigen::IncompleteLUT >]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:161:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 3, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 3, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 3, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 3, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 3, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 3, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 3, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 3, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 3, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:12: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:425:62: required from ‘void MixedFERegressionBase::buildSpaceTimeMatrices() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:993:9: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:425:57: required from ‘void MixedFERegressionBase::buildSpaceTimeMatrices() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:993:9: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:344:59: required from ‘void MixedFERegressionBase::setDMat() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1000:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:348:17: required from ‘void MixedFERegressionBase::setDMat() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1000:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:352:43: required from ‘void MixedFERegressionBase::setDMat() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1000:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In instantiation of ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:537:40: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 537 | for(UInt i=0; isize(); ++i) | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:551:52: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:422, from Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:7: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] 247 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1303:61: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1326:42: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1344:53: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In instantiation of ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1244:10: warning: unused variable ‘delta’ [-Wunused-variable] 1244 | Real delta = mesh_time_[1] - mesh_time_[0]; // Time interval | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:45: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:109:91: required from ‘void GCV_Family::compute_z_hat_from_f_hat(const VectorXr&) [with InputCarrier = Carrier; int size = 1; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:84:15: required from ‘void GCV_Family::combine_output_prediction(const VectorXr&, output_Data&, UInt) [with InputCarrier = Carrier; int size = 1; VectorXr = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:168:35: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:631:15: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:631:39: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:635:55: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:651:74: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Matrix >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:29: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:40: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:58: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:67:78: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] 247 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:88:71: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:57: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:31: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:187:1: required from ‘const Eigen::ArrayBase > >::RCmpLEReturnType Eigen::operator<=(const ArrayBase > >::Scalar&, const ArrayBase > >&)’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:86:20: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 6, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 6, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 6, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 6, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 6, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 6, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 6, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 6, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 6, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 4, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 4, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 4, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 4, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 4, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 4, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 4, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 4, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 4, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:57: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:31: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:187:1: required from ‘const Eigen::ArrayBase > >::RCmpLEReturnType Eigen::operator<=(const ArrayBase > >::Scalar&, const ArrayBase > >&)’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:86:20: required from ‘bool Element::isPointInside(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:533:27: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:17:8: required from ‘struct Eigen::internal::traits, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 10, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 10, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 10, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 10, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 10, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 10, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 10, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:320:19: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 10, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 10, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 10, 1, false>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable ‘ret’ [-Wunused-variable] 263 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1044:43: required from ‘void MixedFERegressionBase::buildSystemMatrix(Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:205:111: required from ‘void MixedFERegressionBase::build_regression_inference(Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:482:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<2>&, const InferenceData&, MixedFERegression&, Real&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:75:30: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1050:44: required from ‘void MixedFERegressionBase::buildSystemMatrix(Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:205:111: required from ‘void MixedFERegressionBase::build_regression_inference(Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:482:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<2>&, const InferenceData&, MixedFERegression&, Real&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:75:30: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable ‘ret’ [-Wunused-variable] 263 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable ‘ret’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:319:39: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:155:30: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:263:20: warning: unused variable ‘ret’ [-Wunused-variable] In file included from Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler.h:8, from Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:6: Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h: In instantiation of ‘Real Spline::BasisFunction_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]’: Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:40:58: required from ‘Real Spline::BasisFunction(UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:611:32: required from ‘void compute_nonparametric_inference_matrices_time(const MeshHandler&, std::vector, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:123:88: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:85: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 53 | return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:39: warning: suggest parentheses around ‘&&’ within ‘||’ [-Wparentheses] 53 | return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2; /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:183:70: required from ‘void FPIRLS_Base::compute_pseudoObs(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:92:7: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView >’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:308:68: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:311:53: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 3, false>, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 6, false>, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:96: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 4, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 4, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 4, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 4, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 4, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 4, false>, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 10, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 10, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 10, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 10, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 10, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 10, false>, 0>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:99: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:219:1: required from ‘const Eigen::ArrayBase::CmpEQReturnType Eigen::ArrayBase::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:115:7: required from ‘const Eigen::MapBase::Scalar& Eigen::MapBase::coeff(Eigen::Index) const [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:116:28: required from ‘static void Eigen::internal::LU_kernel_bmod<1>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:106:31: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:93:13: required from ‘void MixedFERegressionBase::addNA() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:455:9: required from ‘void MixedFERegressionBase::buildSpaceTimeMatrices() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:993:9: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:344:9: required from ‘void MixedFERegressionBase::setDMat() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1000:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:344:9: required from ‘void MixedFERegressionBase::setDMat() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1000:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:10: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:10: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Solve >, Eigen::SparseMatrix >, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Solve >, Eigen::SparseMatrix >, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Solve >, Eigen::SparseMatrix >, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:39:39: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:94: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:68: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Block, -1, -1, false> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:68: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Solve >, Eigen::Block, -1, -1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Solve >, Eigen::Block, -1, -1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Solve >, Eigen::Block, -1, -1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Solve >, Eigen::Block, -1, -1, false> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Solve >, Eigen::Block, -1, -1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Solve >, Eigen::Block, -1, -1, false> >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:47: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Solve >, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Solve >, Eigen::Matrix >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Solve >, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Solve >, Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:43:47: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1452:39: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:64: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1473:114: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1483:99: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1343:34: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Block, -1, 1, false>, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1499:85: required from ‘void MixedFERegressionBase::update_rhs(UInt&, Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1353:21: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:713:29: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:453:26: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:58:12: required from ‘void Element::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:24: required from ‘void Element::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:58:12: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:24: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:920:52: required from ‘static const Eigen::MatrixBase::BasisReturnType Eigen::MatrixBase::Unit(Eigen::Index) [with Derived = Eigen::Matrix; BasisReturnType = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Eigen::Index = long int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:137: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] 247 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable ‘ret’ [-Wunused-variable] 279 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt, lambdaT); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:657:32: required from ‘Derived& Eigen::SparseMatrixBase::operator-=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >; Derived = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1038:25: required from ‘void MixedFERegressionBase::buildSystemMatrix(Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:205:111: required from ‘void MixedFERegressionBase::build_regression_inference(Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:482:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<2>&, const InferenceData&, MixedFERegression&, Real&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:75:30: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] 247 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable ‘ret’ [-Wunused-variable] 279 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt, lambdaT); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] 247 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable ‘ret’ [-Wunused-variable] 279 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt, lambdaT); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:232:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:20: warning: unused variable ‘ret’ [-Wunused-variable] 247 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_R_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:234:18: required from ‘GCV_Exact::GCV_Exact(InputCarrier&, Real) [with InputCarrier = Carrier; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:254:12: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:279:20: warning: unused variable ‘ret’ [-Wunused-variable] 279 | const UInt ret = AuxiliaryOptimizer::universal_R_setter(this->R_, this->the_carrier, this->adt, lambdaT); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Newton.h:130:38: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82: required from ‘Real FiniteElement::forcing_integrate(UInt, const Real*) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 6, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 6, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 6, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 6, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82: required from ‘Real FiniteElement::forcing_integrate(UInt, const Real*) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 4, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 4, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 4, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 4, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 4, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82: required from ‘Real FiniteElement::forcing_integrate(UInt, const Real*) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:110:26: required from ‘Real Element::evaluate_point(const Eigen::Matrix&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:24: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 14, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 14, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 14, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 14, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 14, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 14, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 14, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:123:82: required from ‘Real FiniteElement::forcing_integrate(UInt, const Real*) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:801:65: required from ‘void MixedFERegressionBase::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Solve >, Eigen::SparseMatrix >, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Solve >, Eigen::SparseMatrix >, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Solve >, Eigen::SparseMatrix >, 2>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:819:35: required from ‘void MixedFERegressionBase::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:867:22: required from ‘void MixedFERegressionBase::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In instantiation of ‘void MixedFERegressionBase::computeDegreesOfFreedomExact(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:869:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 869 | for (int i = 0; i < k->size(); ++i) { | ~~^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:120:26: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 2, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:128:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:20: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 3, false>; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:136:23: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:98: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:613:8: required from ‘struct Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:214:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:54: required from ‘bool Eigen::SparseQR::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SparseQR, Eigen::COLAMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false>, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, -1, -1, false>, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:97: required from ‘bool Eigen::SparseQR::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SparseQR, Eigen::COLAMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:219:105: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:223:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 2, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 2, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 2, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 2, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 2, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:129:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 3, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 3, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, -1, 3, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:14: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Block, -1, 3, false>; bool Big = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Block, -1, 3, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:137:30: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:852:80: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53: required from ‘void Eigen::SparseLUMatrixUReturnType::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; MatrixLType = Eigen::internal::MappedSuperNodalMatrix; MatrixUType = Eigen::MappedSparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:168:35: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:67:78: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:67:78: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:88:71: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:88:71: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Inference_Carrier_imp.h:37:11: required from ‘Inference_Carrier::Inference_Carrier(const InputHandler*, const MixedFERegressionBase*, const output_Data<1>*, const InferenceData*, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:96:37: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 6, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 4, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 14, 1, true>; U = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable ‘ret’ [-Wunused-variable] 767 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0)); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 768 | UInt time_ret = AuxiliaryOptimizer::universal_first_updater(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0)); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable ‘ret’ [-Wunused-variable] 789 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 790 | UInt time_ret = AuxiliaryOptimizer::universal_second_updater(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable ‘time_ret_mxd’ [-Wunused-variable] 791 | UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat); | ^~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable ‘ret’ [-Wunused-variable] 767 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0)); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 768 | UInt time_ret = AuxiliaryOptimizer::universal_first_updater(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0)); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable ‘ret’ [-Wunused-variable] 789 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 790 | UInt time_ret = AuxiliaryOptimizer::universal_second_updater(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable ‘time_ret_mxd’ [-Wunused-variable] 791 | UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat); | ^~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable ‘ret’ [-Wunused-variable] 767 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0)); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 768 | UInt time_ret = AuxiliaryOptimizer::universal_first_updater(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0)); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable ‘ret’ [-Wunused-variable] 789 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 790 | UInt time_ret = AuxiliaryOptimizer::universal_second_updater(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable ‘time_ret_mxd’ [-Wunused-variable] 791 | UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat); | ^~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:767:14: warning: unused variable ‘ret’ [-Wunused-variable] 767 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda(0)); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:768:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 768 | UInt time_ret = AuxiliaryOptimizer::universal_first_updater(this->time_adt, this->the_carrier, this->time_dS_, this->eps_hat, lambda(0)); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 2>; T = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:789:14: warning: unused variable ‘ret’ [-Wunused-variable] 789 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:790:14: warning: unused variable ‘time_ret’ [-Wunused-variable] 790 | UInt time_ret = AuxiliaryOptimizer::universal_second_updater(this->time_adt, this->the_carrier, this->time_ddS_, this->eps_hat); | ^~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:14: warning: unused variable ‘time_ret_mxd’ [-Wunused-variable] 791 | UInt time_ret_mxd = AuxiliaryOptimizer::universal_second_updater_mxd(this->adt, this->time_adt, this->the_carrier, this->time_ddS_mxd_, this->eps_hat); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:745:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 3, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 3, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 3, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 3, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 3, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:43:67: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 2, 6, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 2, 6, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 2, 6, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 2, 6, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 2, 6, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 6, false>, 0>; ExpressionType = Eigen::Block, 2, 6, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 4, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 4, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 4, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 4, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 4, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 4, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:43:67: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 3, 10, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 3, 10, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 3, 10, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 3, 10, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 3, 10, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 3, 10, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 10, false>, 0>; ExpressionType = Eigen::Block, 3, 10, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57: required from ‘void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:464:52: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:469:65: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:471:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1550:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1550:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:453:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:485:46: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:466:47: required from ‘void GCV_Exact::set_ddS_and_trddS_mxd_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:787:15: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:501:76: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_second_updater_mxd(AuxiliaryData&, AuxiliaryData&, InputCarrier&, const MatrixXr&, const VectorXr&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:91: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:501:56: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_second_updater_mxd(AuxiliaryData&, AuxiliaryData&, InputCarrier&, const MatrixXr&, const VectorXr&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:791:91: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:73:93: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:82:87: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:518:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::first_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:58:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:760:14: warning: unused variable ‘ret’ [-Wunused-variable] 760 | UInt ret = AuxiliaryOptimizer::universal_first_updater(this->adt, this->the_carrier, this->dS_, this->eps_hat, lambda); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::second_updater(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:59:60: required from ‘void GOF_updater::updaters_setter(LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Gof_Updater.h:100:33: required from ‘void GOF_updater::call_to(UInt, T, LambdaOptim*) [with LambdaOptim = GCV_Exact, 1>; T = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:256:58: required from ‘std::pair, output_Data<2> > parabolic_routine(CarrierType&) [with GCV_type = GCV_Exact, 1>; CarrierType = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:152:55: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:103:80: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:780:14: warning: unused variable ‘ret’ [-Wunused-variable] 780 | UInt ret = AuxiliaryOptimizer::universal_second_updater(this->adt, this->the_carrier, this->ddS_, this->eps_hat); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 3, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 3, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 3, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 3, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 3, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 3, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 2, 3, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:103:64: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 6, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 6, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 6, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 6, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 6, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 6, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 6, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 6, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 6, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 6, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 6, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 6, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 2, 6, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 2, 6, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:103:64: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 2, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 4, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 4, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 4, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 4, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 4, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 4, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 4, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 4, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 4, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 3, 4, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 3, 4, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:103:64: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 10, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 10, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 10, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 10, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 10, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 10, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, 10, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:37:24: required from ‘void FiniteElementData::setPhi() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:17:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 10, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 10, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 10, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 10, false>; Src = Eigen::Transpose >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 10, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 3, 10, false>; Src = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 3, 10, false>]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:46:63: required from ‘void FiniteElementData::setPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:18:2: required from ‘FiniteElementData::FiniteElementData() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:93:2: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1>’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element.h:103:64: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 3, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:43:29: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:64:20: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:86:11: required from ‘void Eigen::internal::conjugate_gradient(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SparseSelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:219:33: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:42:23: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:23: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:18: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:83:11: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:100:20: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::DiagonalPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:143:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:85:22: required from ‘bool Eigen::internal::bicgstab(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IncompleteLUT; Eigen::Index = long int; typename Dest::RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h:199:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 3, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 3, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 3, 1, false>; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:51: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h: In instantiation of ‘Real Spline::BasisFunction_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]’: Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:73:24: required from ‘Real Spline::BasisFunctionDerivative_impl(UInt, UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:42:68: required from ‘Real Spline::BasisFunctionDerivative(UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:44:67: required from ‘Real Spline::time_mass_impl(UInt, UInt, Real) const [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:63:47: required from ‘static void Assembler::operKernel(const Spline&, SpMat&) [with int DEGREE = 3; int ORDER_DERIVATIVE = 0; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1665:26: required from ‘void MixedSplineRegression::setTimeMass() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:432:21: required from ‘void MixedFERegressionBase::buildSpaceTimeMatrices() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:993:9: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:85: warning: comparison of integer expressions of different signedness: ‘UInt’ {aka ‘int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 53 | return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2; | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Spline.h:53:39: warning: suggest parentheses around ‘&&’ within ‘||’ [-Wparentheses] 53 | return u >= knots_[i] && u < knots_[i+1] || u == knots_.back() && i == knots_.size()-DEGREE-2; /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Matrix; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product >, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product >, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>; Derived = Eigen::Block, -1, -1, true>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:631:24: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 6, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 6, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 6, 1, false>; _Scalar = double; int _Rows = 6; int _Cols = 1; int _Options = 0; int _MaxRows = 6; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:51: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 6, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 6, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 6, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 2; int ndim = 2; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:84:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 4, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 4, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 4, 1, false>; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:51: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 4, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 4, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 4, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 1; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 10, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 10, 1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, Eigen::Matrix >, 10, 1, false>; _Scalar = double; int _Rows = 10; int _Cols = 1; int _Options = 0; int _MaxRows = 10; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:203:51: required from ‘void MixedFERegressionBase::setPsi(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:961:36: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 14, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 14, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 14, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Param_Functors.h:126:33: required from ‘Real ForcingTerm::integrate(const FiniteElement&, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:88:42: required from ‘static void Assembler::forcingTerm(const MeshHandler&, FiniteElement&, const ForcingTerm&, VectorXr&) [with int ORDER = 2; int mydim = 3; int ndim = 3; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:987:25: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 2; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:92:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:940:26: required from ‘void MixedFERegressionBase::computeDegreesOfFreedomStochastic(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:745:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:713:13: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Matrix >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Solve >, Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Matrix >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 2, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:58:16: required from ‘void Element::computeProperties() [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 3; int mydim = 2; int ndim = 2; UInt = int; elementPoints = std::array, 3>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; meshElement = Element<3, 2, 2>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 3, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 3, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 3, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:58:16: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 2, 1, true>; U = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 2, 1, true>; U = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 2, 1, true>, 1>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 3, 1, true>, const Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 3, 1, true>; U = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Block, 3, 1, true>, 1>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = const Advection&; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:43: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:642:29: required from ‘void Eigen::SparseQR_QProduct::evalTo(DesType&) const [with DesType = Eigen::Matrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53: required from ‘void Eigen::SparseLUMatrixUReturnType::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; MatrixLType = Eigen::internal::MappedSuperNodalMatrix; MatrixUType = Eigen::MappedSparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:66: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:715:7: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:715:7: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Matrix >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Matrix >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:172:52: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h:639:36: required from ‘void Eigen::SparseQR_QProduct::evalTo(DesType&) const [with DesType = Eigen::Matrix; SparseQRType = Eigen::SparseQR, Eigen::COLAMDOrdering >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48: required from ‘void Eigen::ReturnByValue::evalTo(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:84:25: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::ReturnByValue&) [with OtherDerived = Eigen::SparseQR_QProduct, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:425:22: required from ‘void MixedFERegressionBase::buildSpaceTimeMatrices() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:993:9: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >; XprType = Eigen::Product, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1542:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > > >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >; Rhs = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, false>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, 1, false> > >, Eigen::Block, -1, 1, false>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1544:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; XprType = Eigen::Product, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> > >, Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1550:19: required from ‘Real MixedFERegressionBase::compute_J(UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1330:17: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57: required from ‘void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:158:34: required from ‘void Eigen::internal::compute_inverse_size3_helper(const MatrixType&, const typename ResultType::Scalar&, const Eigen::Matrix&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; typename ResultType::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:174:33: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:745:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:80: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:143:50: required from ‘struct Eigen::internal::sparse_solve_triangular_selector, -1, -1, false>, Eigen::Block, -1, 1, false>, 2, 2, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h:189:126: required from ‘void Eigen::TriangularViewImpl::solveInPlace(Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; MatrixType = const Eigen::Block, -1, -1, false>; unsigned int Mode = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:55:25: required from ‘void Eigen::TriangularViewImpl::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Block, -1, 1, false>; DstType = Eigen::Block, -1, 1, false>; MatrixType = const Eigen::Block, -1, -1, false>; unsigned int Mode = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; DecType = Eigen::TriangularView, -1, -1, false>, 2>; RhsType = Eigen::Block, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve, -1, -1, false>, 2>, Eigen::Block, -1, 1, false> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:745:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::SparseMatrix, 0>; Derived = Eigen::Block, -1, -1, true>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:635:24: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 6; bool Conjugate = false]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:32:90: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h:67:48: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:22: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:22: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; LhsEval = Eigen::internal::evaluator > >; Res = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:22: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1326:26: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:15: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:221:12: required from ‘void FPIRLS_Base::compute_mu(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:99:7: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:52:15: required from ‘static void Eigen::internal::generic_product_impl::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix; ActualLhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8; typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::DenseShape) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:112:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 2, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 2, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 2, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 3, false>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 3, false>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 3, false>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 3, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 3, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 6, false>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 6, false>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 6, false>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 6, false>, 0>; ExpressionType = Eigen::Block, 2, 6, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 2, 6, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 6, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 6, false>, 0>; ExpressionType = Eigen::Block, 2, 6, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 3, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 3, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 3, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 3, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 4, false>, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 4, false>, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 4, false>, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 3, 4, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 3, 4, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 10, false>, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 10, false>, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 10, false>, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 10, false>, 0>; ExpressionType = Eigen::Block, 3, 10, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 3, 10, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 3, 10, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 10, false>, 0>; ExpressionType = Eigen::Block, 3, 10, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:26: required from ‘void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h:91:29: required from ‘void Eigen::DiagonalPreconditioner<_Scalar>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:121:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:50: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::IncompleteLUT; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:174:58: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 2, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:46: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::IncompleteLUT; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 2>, Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 2>, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h:175:54: required from ‘void Eigen::IncompleteLUT<_Scalar, _StorageIndex>::_solve_impl(const Rhs&, Dest&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::IncompleteLUT >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:165:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Matrix; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >; XprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, 1, false>, -1, 1, true>, 1, true, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1083:71: required from ‘static void Eigen::internal::generic_product_impl, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Eigen::Inverse&, const Rhs&) [with Dest = Eigen::Block, -1, 1, false>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, false>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>; Lhs = Eigen::Inverse >; Rhs = Eigen::Block, -1, 1, false>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>; Src = Eigen::Product >, Eigen::Block, -1, 1, false>, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:15: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Matrix >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve >, Eigen::Matrix >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve >, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:656:22: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:63:10: required from ‘void Element::computeProperties() [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:89:39: required from ‘Element::Element(UInt, const elementPoints&) [with int NNODES = 4; int mydim = 3; int ndim = 3; UInt = int; elementPoints = std::array, 4>]’ Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh_imp.h:25:9: required from ‘MeshHandler::meshElement MeshHandler::getElement(UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; meshElement = Element<4, 3, 3>; UInt = int]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:531:34: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:46: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Block, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Block, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:39:42: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:20: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:73: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:127:28: required from ‘Eigen::internal::evaluator >::evaluator(const SolveType&) [with Decomposition = Eigen::SparseLU >; RhsType = Eigen::SparseMatrix; SolveType = Eigen::Solve >, Eigen::SparseMatrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Solve >, Eigen::SparseMatrix >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::partialPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:22:88: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:54:17: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:28: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:28: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1326:26: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1326:26: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, Eigen::Matrix, 0>, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:715:7: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:15: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:15: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:221:12: required from ‘void FPIRLS_Base::compute_mu(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:99:7: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView, -1, -1, true> >; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:35: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:127:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h:321:17: required from ‘static void Eigen::internal::sparse_sparse_to_dense_product_selector::run(const Lhs&, const Rhs&, ResultType&) [with Lhs = Eigen::SparseMatrix; Rhs = Eigen::SparseMatrix; ResultType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:55:103: required from ‘static void Eigen::internal::generic_product_impl::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Matrix; ActualLhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Solve >, Eigen::SparseMatrix >; int ProductType = 8; typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 2, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 3, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 3, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 3, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 3, false>, 0>; ExpressionType = Eigen::Block, 2, 3, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 6, false>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 6, false>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, 2, 6, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 2, 6, false>, 0>; ExpressionType = Eigen::Block, 2, 6, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 3, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 3, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 3, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 4, false>, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 4, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 4, false>, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 4, false>, 0>; ExpressionType = Eigen::Block, 3, 4, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 3, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true>, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, 3, 1, true>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 3, 1, true>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 10, false>, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 10, false>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 3, true> >, const Eigen::Block, 3, 10, false>, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 3, 10, false>, 0>; ExpressionType = Eigen::Block, 3, 10, false>; StorageBase = Eigen::MatrixBase]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:54:70: required from ‘void FiniteElementData::setElementPhiDer() [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Finite_Element_imp.h:30:2: required from ‘void FiniteElementData::updateElement(const Element&) [with int ORDER = 2; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:22:19: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true>, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, 3, 1, true>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 3, 1, true>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 2, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 2, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 2, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 2, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, 2, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, 2, 1, true>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 1, true>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 2, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true>, 2, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Block, 2, 1, true>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, 2, 1, true>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:58:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:79:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:100:19: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1326:26: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:221:12: required from ‘void FPIRLS_Base::compute_mu(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:99:7: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true>, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:379:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true>, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true>, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 3, false> >, const Eigen::Block, 3, 1, true>, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 3; int ndim = 3; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:381:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:28: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:28: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1465:22: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:15: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 3; int _Cols = 1; int _Options = 0; int _MaxRows = 3; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 3; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 3; int mydim = 2; int ndim = 2; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 2, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 2, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 2, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:375:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true>, 2, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true>, 2, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, 2, false> >, const Eigen::Block, 2, 1, true>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:107:24: required from ‘Real EOBinOp::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOExpr, EOExpr&>, EOAdd> >; B = EOExpr&>; Op = EOAdd; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Pde_Expression_Templates.h:49:13: required from ‘Real EOExpr::operator()(const FiniteElement&, UInt, UInt, UInt) const [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/Matrix_Assembler_imp.h:33:16: required from ‘static void Assembler::operKernel(EOExpr, const MeshHandler&, FiniteElement&, SpMat&) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SpMat = Eigen::SparseMatrix]’ Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:41:23: required from ‘SEXPREC* get_FEM_Matrix_skeleton(SEXP, EOExpr) [with int ORDER = 2; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:377:44: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:277:5: required from ‘void MixedFERegressionBase::setH() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:968:3: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:395:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:397:7: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1326:26: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Block, -1, 1, false>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1215:15: required from ‘MatrixXv MixedFERegressionBase::apply() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:262:52: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, Eigen::internal::IteratorBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:30: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:317:47: required from ‘std::array FPIRLS_Base::compute_J(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:103:32: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:429:10: required from ‘const Eigen::HouseholderQR::PlainObject> Eigen::MatrixBase::householderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:89: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, false>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1486:84: required from ‘void MixedFERegressionBase::initialize_g(Real, Real, UInt&, UInt&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1321:13: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:709:12: required from ‘MatrixXr MixedFERegressionBase::system_solve(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1356:59: required from ‘MatrixXv MixedFERegressionBase::apply_iterative() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:260:62: required from ‘MatrixXr Carrier::apply(lambda::type<1>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Forced, Areal}; MatrixXr = Eigen::Matrix; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:160:36: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/../../FE_Assemblers_Solvers/Include/Solver.h:12:99: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:661:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:663:19: required from ‘void MixedFERegressionBase::system_factorize() [with InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression.h:204:110: required from ‘void MixedFERegressionBase::build_regression_inference(Real) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:348:44: required from ‘void lambda_inference_selection(const OptimizationData&, const output_Data<1>&, const InferenceData&, MixedFERegression&, Real&) [with InputHandler = RegressionDataEllipticSpaceVarying; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:60:30: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:386:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:388:17: required from ‘MatrixXr MixedFERegressionBase::LeftMultiplybyQ(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:528:19: required from ‘void MixedFERegressionBase::getRightHandData(VectorXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1008:2: required from ‘void MixedFERegressionBase::preapply(EOExpr, const ForcingTerm&, const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2; A = EOBinOp, EOExpr&>, EOAdd> >, EOExpr&>, EOAdd>; InputHandler = RegressionDataEllipticSpaceVarying]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1630:71: required from ‘void MixedFERegression::preapply(const MeshHandler&) [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:44:22: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, -1, false>, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, false>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, false>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, -1, false>, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, false>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, false>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, false>, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, false>, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, 1, true>, 1, true, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1083:71: required from ‘static void Eigen::internal::generic_product_impl, Rhs, Eigen::PermutationShape, MatrixShape, ProductTag>::evalTo(Dest&, const Eigen::Inverse&, const Rhs&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, true>; Lhs = Eigen::Inverse >; Rhs = Eigen::Block, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product >, Eigen::Block, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 3, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 3, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 3, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 3, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 3, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:827:25: required from ‘Real GCV_Exact::compute_f(lambda::type<2>) [with InputCarrier = Carrier; Real = double; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = Eigen::Matrix; Dtype = Eigen::Matrix; Ctype = double; Tuple = Eigen::Matrix; Hessian = Eigen::Matrix; Extensions = {GCV_Exact, 2>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:383:43: required from ‘typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 2>; CarrierType = Carrier; int size = 2; typename std::enable_if<(size == 2), std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:156:82: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<2> > >::type = std::pair, output_Data<2> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton_Time.h:94:86: required from ‘SEXPREC* regression_skeleton_time(InputHandler&, OptimizationData&, InferenceData&, SEXP, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:176:83: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, -1, true>, -1, 1, true>, 1, false, Eigen::DenseShape>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, true>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, true>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, true>, 1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 3, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 3, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 3, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 3, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 3, false> >, const Eigen::Block, 3, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0> >, Eigen::Matrix >; _Scalar = double; int _Rows = 4; int _Cols = 1; int _Options = 0; int _MaxRows = 4; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:74:22: required from ‘Eigen::Matrix Element::getBaryCoordinates(const Point&) const [with int NNODES = 4; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects_imp.h:147:25: required from ‘Real Element::evaluate_point(const Point&, const Eigen::Matrix&) const [with int NNODES = 4; int mydim = 3; int ndim = 3; Real = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:405:43: required from ‘void compute_nonparametric_inference_matrices(const MeshHandler&, const InputHandler&, InferenceData&, Inference_Carrier&) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:107:81: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 3; int ndim = 3; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:90:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:810:25: required from ‘Real GCV_Exact::compute_f(lambda::type<1>) [with InputCarrier = Carrier; Real = double; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Function_Variadic.h:79:47: required from ‘typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type Function_Wrapper::evaluate_f(U) [with U = double; Dtype = double; Ctype = double; Tuple = double; Hessian = double; Extensions = {GCV_Exact, 1>}; typename std::enable_if<((sizeof... (Extensions) != 0) || std::is_void<_Dummy>::value), Ctype>::type = double]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:246:36: required from ‘typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type optimizer_strategy_selection(EvaluationType&, CarrierType&) [with EvaluationType = GCV_Exact, 1>; CarrierType = Carrier; int size = 1; typename std::enable_if<(size == 1), std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:131:85: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:79:77: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, false>, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, false>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:41:25: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_R_setter(MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:247:78: required from ‘void GCV_Exact::set_R_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:214:45: required from ‘GCV_Exact::GCV_Exact(InputCarrier&) [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:130:33: required from ‘typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type optimizer_method_selection(CarrierType&) [with CarrierType = Carrier; typename std::enable_if::value>, multi_bool_type >::value, std::pair, output_Data<1> > >::type = std::pair, output_Data<1> >]’ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:58:85: required from ‘SEXPREC* regression_skeleton(InputHandler&, OptimizationData&, InferenceData&, SEXP) [with InputHandler = RegressionDataEllipticSpaceVarying; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:82:78: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, 1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:739:5: required from ‘void MixedFERegressionBase::computeDegreesOfFreedom(UInt, UInt, Real, Real) [with InputHandler = RegressionDataEllipticSpaceVarying; UInt = int; Real = double]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:330:44: required from ‘void FPIRLS_Base::compute_GCV(const UInt&, const UInt&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:126:11: required from ‘void FPIRLS_Base::apply(const ForcingTerm&) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/../../Regression/Include/FPIRLS_imp.h:395:69: required from ‘void FPIRLS, ORDER, mydim, ndim>::apply() [with int ORDER = 1; int mydim = 2; int ndim = 2]’ Regression/Source/../../Skeletons/Include/GAM_Skeleton.h:29:15: required from ‘SEXPREC* GAM_skeleton(InputHandler&, OptimizationData&, SEXP, SEXP, std::string, SEXP) [with InputHandler = RegressionDataGAM; int ORDER = 1; int mydim = 2; int ndim = 2; SEXP = SEXPREC*; std::string = std::__cxx11::basic_string]’ Regression/Source/Rfun_Regression_PDE_Space_Varying.cpp:243:64: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 2; lambda::type = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 606 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 2; lambda::type = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 606 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 2; lambda::type = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 606 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 2; lambda::type = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:604:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:606:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 606 | UInt ret; | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:342:47: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:26: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:44: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:71: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:64: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip.h:121, from Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:17: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:376:34: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 376 | for(unsigned long int j=0;j, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:455:34: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:468:32: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1003:65: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:46: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:33: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:519:41: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:523:49: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:529:25: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:35: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:540:31: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:552:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 552 | for(unsigned long int j=0; j < V_Partial_f_res_H0.size(); ++j){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:578:31: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:598:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const UInt’ {aka ‘const int’} [-Wsign-compare] 598 | for(unsigned long int j=0; j < n_loc; ++j){ | ~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::SparseMatrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::SparseMatrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::SparseMatrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::SparseMatrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:100: required from ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:109: required from ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:61: required from ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1195:53: required from ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1197:61: required from ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1197:53: required from ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of ‘void Eigen_Sign_Flip_Exact::compute_Lambda() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1179:6: required from here Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1190:8: warning: unused variable ‘q’ [-Wunused-variable] 1190 | UInt q = this->inf_car.getq(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:100:32: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:25: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Solve >, Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Solve >, Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Solve >, Eigen::Matrix >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Solve >, Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Solve >, Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:109:32: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:130: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:112: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:42: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:243:65: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:69: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0, 6>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:79: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:33: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:18: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:444:49: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:450:68: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:56: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:56: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1010:30: warning: unused variable ‘ret’ [-Wunused-variable] 1010 | UInt ret = AuxiliaryOptimizer::universal_b_setter(this->b, this->the_carrier, this->US_, nnodes); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:38: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 1049 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(this->b, this->the_carrier, QU_big_, N_, k, true); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:576:14: warning: variable ‘ret’ set but not used [-Wunused-but-set-variable] 576 | UInt ret; | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:406:39: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_b_setter_iter(MatrixXr&, InputCarrier&, const MatrixXr&, UInt, UInt, bool) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:59: required from ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:395:40: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_b_setter_iter(MatrixXr&, InputCarrier&, const MatrixXr&, UInt, UInt, bool) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:59: required from ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:24: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:56: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:44: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:62: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:78: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:83: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:22: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h: In instantiation of ‘Real Eigen_Sign_Flip_Base::compute_CI_aux_beta_pvalue(const VectorXr&, const MatrixXr&, const VectorXr&, const MatrixXr&) const [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:1020:25: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:133:32: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘Eigen::Index’ {aka ‘long int’} [-Wsign-compare] 133 | for(unsigned long int j=0;j::compute_CI_aux_f_pvalue(const VectorXr&, UInt) const [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double; VectorXr = Eigen::Matrix; UInt = int]’: Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:722:25: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_f_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:622:10: required from here Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:222:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 222 | for(unsigned long int j=0; j < V_partial_res_H0_CI.size(); ++j){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:266:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘Eigen::EigenBase >::Index’ {aka ‘long int’} [-Wsign-compare] 266 | for(unsigned long int j=0; j < partial_res_H0_CI.size(); ++j){ | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:36: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:54: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:62: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:67: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:22: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:56: required from ‘void Speckman_Base::compute_beta_hat() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:33: required from ‘void Speckman_Base::compute_beta_hat() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:25: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:58: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:31: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:48: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:304:62: required from ‘void GCV_Exact::set_T_(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable ‘ret’ [-Wunused-variable] 305 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable ‘ret’ [-Wunused-variable] 324 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable ‘ret’ [-Wunused-variable] 305 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable ‘ret’ [-Wunused-variable] 324 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable ‘ret’ [-Wunused-variable] 305 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable ‘ret’ [-Wunused-variable] 324 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:723:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:305:20: warning: unused variable ‘ret’ [-Wunused-variable] 305 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:20: warning: unused variable ‘ret’ [-Wunused-variable] 324 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt, this->time_adt); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:41: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_T_(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:710:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:298:20: warning: unused variable ‘ret’ [-Wunused-variable] 298 | const UInt ret = AuxiliaryOptimizer::universal_T_setter(this->T_, this->the_carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:20: warning: unused variable ‘ret’ [-Wunused-variable] 318 | const UInt ret = AuxiliaryOptimizer::universal_V_setter(this->V_, this->T_, this->R_, this->the_carrier, this->adt); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h: In instantiation of ‘void GCV_Exact::set_iter_trS_(Real) [with InputCarrier = Carrier; Real = double]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:715:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:367:22: warning: unused variable ‘ret’ [-Wunused-variable] 367 | UInt ret = AuxiliaryOptimizer::universal_b_setter_iter(X1, this->the_carrier, QPsi_big, N_, k, false); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:358:14: warning: unused variable ‘nlocations’ [-Wunused-variable] 358 | UInt nlocations = this->the_carrier.get_n_space_obs(); | ^~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h: In instantiation of ‘void MixedFERegressionBase::addDirichletBC_matrix() [with InputHandler = RegressionDataEllipticSpaceVarying]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:1075:10: required from ‘MatrixXr MixedFERegressionBase::apply_to_b(const MatrixXr&) [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Carrier.h:234:55: required from ‘MatrixXr Carrier::apply_to_b(const MatrixXr&, lambda::type<2>) [with InputHandler = RegressionDataEllipticSpaceVarying; Extensions = {Temporal}; MatrixXr = Eigen::Matrix; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1014:44: required from ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/../../Regression/Include/Mixed_FE_Regression_imp.h:60:35: warning: unused variable ‘bc_values’ [-Wunused-variable] 60 | const std::vector * bc_values = regressionData_.getDirichletValues(); | ^~~~~~~~~ In file included from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer.h:438, from Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer.h:6: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable ‘ret’ [-Wunused-variable] 203 | const UInt ret = AuxiliaryOptimizer::universal_E_setter(E_, carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable ‘ret’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable ‘ret’ [-Wunused-variable] 147 | const UInt ret = AuxiliaryOptimizer::universal_E_setter(E_, carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable ‘ret’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:229:36: warning: unused variable ‘ret’ [-Wunused-variable] 229 | const UInt ret = AuxiliaryOptimizer::universal_E_setter(E_, carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:229:36: warning: unused variable ‘ret’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:174:36: warning: unused variable ‘ret’ [-Wunused-variable] 174 | const UInt ret = AuxiliaryOptimizer::universal_E_setter(E_, carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:324:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:724:15: required from ‘void GCV_Exact::update_matrices(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:747:15: required from ‘void GCV_Exact::update_parameters(lambda::type<2>) [with InputCarrier = Carrier; lambda::type<2> = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:744:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:174:36: warning: unused variable ‘ret’ [-Wunused-variable] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7: required from ‘Eigen::CwiseBinaryOpImpl::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; Rhs = const Eigen::Block, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:49: required from ‘Eigen::CwiseBinaryOp::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op; LhsType = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; RhsType = const Eigen::Block, 1, -1, false>; Lhs = Eigen::CwiseNullaryOp, const Eigen::Matrix >; Rhs = Eigen::Block, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/../plugins/CommonCwiseBinaryOps.h:50:1: required from ‘const Eigen::CwiseBinaryOp::Scalar, T, Eigen::internal::has_ReturnType::Scalar, Eigen::internal::scalar_product_op::Scalar> > >::value>::type, typename Eigen::internal::traits::Scalar>, const typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, Eigen::internal::scalar_product_op::Scalar> > >::value>::type>::type, const Derived> Eigen::operator*(const T&, const SparseMatrixBase::StorageBaseType&) [with T = double; Derived = Block, 1, -1, false>; typename internal::promote_scalar_arg::Scalar, T, internal::has_ReturnType::Scalar, internal::scalar_product_op::Scalar> > >::value>::type = double; typename internal::traits::Scalar = double; typename internal::traits::Scalar = double; typename internal::plain_constant_type::Scalar, T, internal::has_ReturnType::Scalar, internal::scalar_product_op::Scalar> > >::value>::type>::type = CwiseNullaryOp, const Matrix >; SparseMatrixBase::StorageBaseType = SparseMatrixBase, 1, -1, false> >]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:29: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable ‘ret’ [-Wunused-variable] 203 | const UInt ret = AuxiliaryOptimizer::universal_E_setter(E_, carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:203:36: warning: unused variable ‘ret’ [-Wunused-variable] Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable ‘ret’ [-Wunused-variable] 147 | const UInt ret = AuxiliaryOptimizer::universal_E_setter(E_, carrier); | ^~~ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h: In instantiation of ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_V_setter(MatrixXr&, const MatrixXr&, const MatrixXr&, const InputCarrier&, AuxiliaryData&) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix]’: Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:318:78: required from ‘void GCV_Exact::set_V_() [with InputCarrier = Carrier]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:711:23: required from ‘void GCV_Exact::update_matrices(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:739:15: required from ‘void GCV_Exact::update_parameters(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:736:6: required from here Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:147:36: warning: unused variable ‘ret’ [-Wunused-variable] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:894:57: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve >, Eigen::Matrix >; XprType = Eigen::Product >, Eigen::Solve >, Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >; int Options = 0; XprType = Eigen::Product >, Eigen::Solve >, Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:109:32: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:649:18: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_f_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:622:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, true>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, true>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:239:12: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, -1, 1, true>, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 2, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:18: required from ‘void Speckman_Base::compute_beta_hat() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Solve >, Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve >, Eigen::Matrix >; XprType = Eigen::Product >, Eigen::Solve >, Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >; int Options = 0; XprType = Eigen::Product >, Eigen::Solve >, Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Solve >, Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:109:32: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl >, 1024>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl >, Eigen::Sparse>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:213:12: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >, 1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false> >, 1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:523:14: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Block, -1, -1, false>, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Block, -1, -1, false>, 0>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Block, -1, -1, false>, 0>; Rhs = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Block, -1, -1, false>, 1>, 0>; Derived = Eigen::Block, -1, -1, false>]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:395:17: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_b_setter_iter(MatrixXr&, InputCarrier&, const MatrixXr&, UInt, UInt, bool) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; MatrixXr = Eigen::Matrix; UInt = int]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:1049:59: required from ‘void GCV_Stochastic::update_dof(lambda::type) [with InputCarrier = Carrier; int size = 1; lambda::type = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:979:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:26: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21: required from ‘void Wald_Exact::compute_B() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:337: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Transpose > >, -1, 1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Transpose > >, -1, 1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:346:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:351:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Transpose > >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Transpose > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:26: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:523:14: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:529:9: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:102:14: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:452:23: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose >; DenseRhsType = Eigen::Transpose, -1, -1, false> >; DenseResType = Eigen::Transpose >; LhsEval = Eigen::internal::evaluator > >; Res = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:452:23: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21: required from ‘void Wald_Exact::compute_B() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose >; DenseRhsType = Eigen::Transpose, -1, -1, false> >; DenseResType = Eigen::Transpose >; LhsEval = Eigen::internal::evaluator > >; Res = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21: required from ‘void Wald_Exact::compute_B() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:505:26: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:532:9: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:246:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:248:19: required from ‘void Speckman_Exact::compute_Lambda2() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:230:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:461:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Block, -1, -1, false>, 0>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, -1, false>, 0>, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:463:13: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:437:9: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:45:18: required from ‘void Speckman_Base::compute_WLW_dec() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:13:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:96:13: required from ‘void Wald_Base::compute_V_f() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:189:11: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:354:23: required from ‘static void AuxiliaryOptimizer::common_z_hat_part(VectorXr&, InputCarrier&, const MatrixXr&) [with InputCarrier = Carrier; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Auxiliary_Optimizer_imp.h:310:34: required from ‘static typename std::enable_if::value>, multi_bool_type >::value, int>::type AuxiliaryOptimizer::universal_z_hat_setter(VectorXr&, InputCarrier&, const MatrixXr&, AuxiliaryData&, Real) [with InputCarrier = Carrier; typename std::enable_if::value>, multi_bool_type >::value, int>::type = int; VectorXr = Eigen::Matrix; MatrixXr = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:579:79: required from ‘void GCV_Exact::compute_z_hat(lambda::type<1>) [with InputCarrier = Carrier; lambda::type<1> = double]’ Regression/Source/../../Skeletons/Include/../../Lambda_Optimization/Include/Lambda_Optimizer_imp.h:574:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:452:23: required from ‘void Wald_Exact::compute_S() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:424:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >; Functor = add_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::SparseMatrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:491:21: required from ‘void Wald_Exact::compute_B() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:472:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:345:14: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:132:12: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:22:18: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:138:35: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:247:8: required from ‘Real Wald_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:184:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:323:45: required from ‘VectorXr Eigen_Sign_Flip_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:292:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:260:25: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:606:71: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:501:11: required from ‘Real Eigen_Sign_Flip_Base::compute_f_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; Real = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:479:6: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:57:18: required from ‘void Speckman_Base::compute_beta_hat() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:97:7: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::SparseShape, 6>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::SparseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, 1, true>; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Options = 0; XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Block, -1, 1, true>, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Block, -1, 1, true>; int Option = 0; Scalar = double]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:416:15: required from ‘VectorXr Wald_Base::compute_f_var() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:393:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Rhs = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Product, Eigen::Matrix, 0>]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, false>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:37:5: required from ‘void Eigen_Sign_Flip_Base::Compute_speckman_aux() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:961:11: required from ‘MatrixXv Eigen_Sign_Flip_Base::compute_beta_CI() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; MatrixXv = Eigen::Matrix, -1, -1>]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Eigen_Sign_Flip_imp.h:911:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Product, Eigen::Matrix, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:30:5: required from ‘void Speckman_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:86:5: required from ‘VectorXr Speckman_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Speckman_imp.h:65:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 43 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 44 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 45 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; Derived = Eigen::Matrix]’ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, const Eigen::Solve >, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:54:5: required from ‘void Wald_Base::compute_V() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:123:5: required from ‘VectorXr Wald_Base::compute_beta_pvalue() [with InputHandler = RegressionDataEllipticSpaceVarying; MatrixType = Eigen::Matrix; VectorXr = Eigen::Matrix]’ Regression/Source/../../Skeletons/Include/../../Inference/Include/Wald_imp.h:104:10: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:294: In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<10, 3, 3>::Element(Element<10, 3, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 328].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree.h:122, from Regression/Source/../../Skeletons/Include/../../Mesh/Include/Mesh.h:12, from Regression/Source/../../Skeletons/Include/Auxiliary_Skeleton.h:7: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<10, 3, 3>::Element(Element<10, 3, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 400].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<4, 3, 3>::Element(Element<4, 3, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 136].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ In member function ‘Eigen::PlainObjectBase >::PlainObjectBase(Eigen::PlainObjectBase > const&)’, inlined from ‘Eigen::Matrix::Matrix(Eigen::Matrix const&)’ at /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:414:65, inlined from ‘Element<4, 3, 3>::Element(Element<4, 3, 3> const&)’ at Regression/Source/../../Skeletons/Include/../../FE_Assemblers_Solvers/Include/../../Mesh/Include/Mesh_Objects.h:57:7, inlined from ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’ at Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:56:21: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:512:17: warning: ‘MEM[(const struct PlainObjectBase &)&obj + 208].m_storage’ may be used uninitialized [-Wmaybe-uninitialized] 512 | : Base(), m_storage(other.m_storage) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~ Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h: In member function ‘ADTree >::setTree(RNumericMatrix const&, RIntegerMatrix const&)’: Regression/Source/../../Skeletons/Include/../../Mesh/Include/AD_Tree_imp.h:54:11: note: ‘obj’ declared here 54 | Shape obj; | ^~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Stochastic, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h: In function ‘optimizer_strategy_selection, 1>, Carrier, 1>(GCV_Exact, 1>&, Carrier&)std::enable_if<(1)==(1), std::pair, output_Data<1> > >::type’: Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:256:35: warning: ‘lambdaS_min’ may be used uninitialized [-Wmaybe-uninitialized] 256 | if (lambdaS_init>lambdaS_min/4 || lambdaS_init<=0) | ~~~~~~~~~~~^~ Regression/Source/../../Skeletons/Include/Regression_Skeleton.h:240:12: note: ‘lambdaS_min’ was declared here 240 | Real lambdaS_min; | ^~~~~~~~~~~ gcc -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c C_Libraries/FEMtriangulation.c -o C_Libraries/FEMtriangulation.o gcc -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c C_Libraries/triangle.c -o C_Libraries/triangle.o C_Libraries/triangle.c: In function ‘segmentintersection’: C_Libraries/triangle.c:11101:28: warning: variable ‘collinear’ set but not used [-Wunused-but-set-variable] 11101 | enum finddirectionresult collinear; | ^~~~~~~~~ C_Libraries/triangle.c: In function ‘tallyencs’: C_Libraries/triangle.c:12475:7: warning: variable ‘dummy’ set but not used [-Wunused-but-set-variable] 12475 | int dummy; | ^~~~~ C_Libraries/triangle.c: In function ‘splitencsegs’: C_Libraries/triangle.c:12541:7: warning: variable ‘dummy’ set but not used [-Wunused-but-set-variable] 12541 | int dummy; | ^~~~~ C_Libraries/triangle.c: In function ‘incircleadapt’: C_Libraries/triangle.c:5575:20: warning: ‘bytcalen’ may be used uninitialized [-Wmaybe-uninitialized] 5575 | temp16alen = scale_expansion_zeroelim(bytcalen, bytca, bdytail, temp16a); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ C_Libraries/triangle.c:5175:37: note: ‘bytcalen’ was declared here 5175 | int axtbclen, aytbclen, bxtcalen, bytcalen, cxtablen, cytablen; | ^~~~~~~~ C_Libraries/triangle.c:5533:20: warning: ‘bxtcalen’ may be used uninitialized [-Wmaybe-uninitialized] 5533 | temp16alen = scale_expansion_zeroelim(bxtcalen, bxtca, bdxtail, temp16a); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ C_Libraries/triangle.c:5175:27: note: ‘bxtcalen’ was declared here 5175 | int axtbclen, aytbclen, bxtcalen, bytcalen, cxtablen, cytablen; | ^~~~~~~~ C_Libraries/triangle.c:5436:20: warning: ‘axtbclen’ may be used uninitialized [-Wmaybe-uninitialized] 5436 | temp16alen = scale_expansion_zeroelim(axtbclen, axtbc, adxtail, temp16a); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ C_Libraries/triangle.c:5175:7: note: ‘axtbclen’ was declared here 5175 | int axtbclen, aytbclen, bxtcalen, bytcalen, cxtablen, cytablen; | ^~~~~~~~ C_Libraries/triangle.c:5478:20: warning: ‘aytbclen’ may be used uninitialized [-Wmaybe-uninitialized] 5478 | temp16alen = scale_expansion_zeroelim(aytbclen, aytbc, adytail, temp16a); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ C_Libraries/triangle.c:5175:17: note: ‘aytbclen’ was declared here 5175 | int axtbclen, aytbclen, bxtcalen, bytcalen, cxtablen, cytablen; | ^~~~~~~~ gcc -I"/usr/include/R" -DNDEBUG -I'/usr/local/lib/R/library/RcppEigen/include' -I'/usr/local/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c FdaPDE_init.c -o FdaPDE_init.o g++ -std=gnu++17 -shared -L/usr/lib64/R/lib -Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -o fdaPDE.so Density_Estimation/Source/Rfun_Density_Estimation.o FE_Assemblers_Solvers/Source/FEM_Eval.o FE_Assemblers_Solvers/Source/Integration.o FE_Assemblers_Solvers/Source/Kronecker_Product.o FPCA/Source/FPCA_Data.o FPCA/Source/FPCA_Object.o FPCA/Source/Mixed_FE_FPCA.o FPCA/Source/Rfun_Smooth_FPCA.o Global_Utilities/Source/Lambda.o Inference/Source/Inference_Data.o Inference/Source/Inverter.o Lambda_Optimization/Source/Auxiliary_Optimizer.o Lambda_Optimization/Source/Optimization_Data.o Mesh/Source/Rfun_MeshInputHelper.o Regression/Source/Regression_Data.o Regression/Source/Rfun_Auxiliary.o Regression/Source/Rfun_Regression_Laplace.o Regression/Source/Rfun_Regression_PDE.o Regression/Source/Rfun_Regression_PDE_Space_Varying.o C_Libraries/FEMtriangulation.o C_Libraries/triangle.o ./FdaPDE_init.o -L/usr/lib64/R/lib -lR installing via 'install.libs.R' to /builddir/build/BUILDROOT/R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.x86_64/usr/local/lib/R/library/00LOCK-fdaPDE/00new/fdaPDE ** R ** data ** byte-compile and prepare package for lazy loading Warning messages: 1: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display 2: 'rgl.init' failed, running with 'rgl.useNULL = TRUE'. 3: no DISPLAY variable so Tk is not available ** help *** installing help indices converting help for package ‘fdaPDE’ finding HTML links ... done DE.FEM html DE.FEM.time html DE.heat.FEM html DE.heat.FEM.time html FEM html FEM.time html FPCA.FEM html covs.test html create.FEM.basis html create.mesh.1.5D html create.mesh.2.5D html create.mesh.2D html create.mesh.3D html eval.FEM html eval.FEM.time html fdaPDE-deprecated html fs.test.3D html fs.test html horseshoe2.5D html horseshoe2D html hub2.5D html image.FEM html image.FEM.time html inferenceDataObject-class html inferenceDataObjectBuilder html inferenceDataObjectTime-class html inferenceDataObjectTimeBuilder html plot.FEM html plot.FEM.time html plot.mesh.1.5D html plot.mesh.2.5D html plot.mesh.2D html plot.mesh.3D html projection.points.1.5D html projection.points.2.5D html quasicircle2D html quasicircle2Dareal html refine.by.splitting.mesh.1.5D html refine.by.splitting.mesh.2.5D html refine.by.splitting.mesh.2D html refine.by.splitting.mesh.3D html refine.mesh.1.5D html refine.mesh.2D html smooth.FEM html smooth.FEM.time html sphere3Ddata html ** building package indices ** testing if installed package can be loaded from temporary location Warning: 'rgl.init' failed, running with 'rgl.useNULL = TRUE'. Warning: no DISPLAY variable so Tk is not available ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location Warning: 'rgl.init' failed, running with 'rgl.useNULL = TRUE'. Warning: no DISPLAY variable so Tk is not available ** testing if installed package keeps a record of temporary installation path * DONE (fdaPDE) + test -d fdaPDE/src + cd fdaPDE/src + rm -f FdaPDE_init.o fdaPDE.so + rm -f /builddir/build/BUILDROOT/R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.x86_64/usr/local/lib/R/library/R.css + find /builddir/build/BUILDROOT/R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.x86_64/usr/local/lib/R/library -type f -exec sed -i s@/builddir/build/BUILDROOT/R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.x86_64@@g '{}' ';' + /usr/bin/find-debuginfo -j4 --strict-build-id -m -i --build-id-seed 1.1.20-1.fc39.copr8029427 --unique-debug-suffix -1.1.20-1.fc39.copr8029427.x86_64 --unique-debug-src-base R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/fdaPDE find-debuginfo: starting Extracting debug info from 1 files DWARF-compressing 1 files sepdebugcrcfix: Updated 1 CRC32s, 0 CRC32s did match. Creating .debug symlinks for symlinks to ELF files Copying sources found by 'debugedit -l' to /usr/src/debug/R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.x86_64 3688 blocks find-debuginfo: done + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/redhat/brp-ldconfig + /usr/lib/rpm/brp-compress + /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip + /usr/lib/rpm/redhat/brp-mangle-shebangs + /usr/lib/rpm/brp-remove-la-files + env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j4 + /usr/lib/rpm/redhat/brp-python-hardlink Processing files: R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.x86_64 Provides: R-CRAN-fdaPDE = 1.1.20-1.fc39.copr8029427 R-CRAN-fdaPDE(x86-64) = 1.1.20-1.fc39.copr8029427 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libR.so()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_2.4)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.29)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.18)(64bit) libstdc++.so.6(GLIBCXX_3.4.19)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: R-CRAN-fdaPDE-debugsource-1.1.20-1.fc39.copr8029427.x86_64 Provides: R-CRAN-fdaPDE-debugsource = 1.1.20-1.fc39.copr8029427 R-CRAN-fdaPDE-debugsource(x86-64) = 1.1.20-1.fc39.copr8029427 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: R-CRAN-fdaPDE-debuginfo-1.1.20-1.fc39.copr8029427.x86_64 Provides: R-CRAN-fdaPDE-debuginfo = 1.1.20-1.fc39.copr8029427 R-CRAN-fdaPDE-debuginfo(x86-64) = 1.1.20-1.fc39.copr8029427 debuginfo(build-id) = a0c3ce3cbff4e62263db15e22910e7a1f7d14721 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: R-CRAN-fdaPDE-debugsource(x86-64) = 1.1.20-1.fc39.copr8029427 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.x86_64 Wrote: /builddir/build/RPMS/R-CRAN-fdaPDE-debugsource-1.1.20-1.fc39.copr8029427.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-fdaPDE-debuginfo-1.1.20-1.fc39.copr8029427.x86_64.rpm Executing(%clean): /bin/sh -e /var/tmp/rpm-tmp.1C5k13 + umask 022 + cd /builddir/build/BUILD + cd fdaPDE + /usr/bin/rm -rf /builddir/build/BUILDROOT/R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.x86_64 + RPM_EC=0 ++ jobs -p + exit 0 Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.TcwHZi + umask 022 + cd /builddir/build/BUILD + rm -rf /builddir/build/BUILD/fdaPDE-SPECPARTS + rm -rf fdaPDE fdaPDE.gemspec + RPM_EC=0 ++ jobs -p + exit 0 RPM build warnings: source_date_epoch_from_changelog set but %changelog is missing Finish: rpmbuild R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.src.rpm Finish: build phase for R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.src.rpm INFO: chroot_scan: 3 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-39-x86_64-1726623465.646560/root/var/log/dnf.rpm.log /var/lib/mock/fedora-39-x86_64-1726623465.646560/root/var/log/dnf.librepo.log /var/lib/mock/fedora-39-x86_64-1726623465.646560/root/var/log/dnf.log INFO: Done(/var/lib/copr-rpmbuild/results/R-CRAN-fdaPDE-1.1.20-1.fc39.copr8029427.src.rpm) Config(child) 14 minutes 5 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "R-CRAN-fdaPDE-debuginfo", "epoch": null, "version": "1.1.20", "release": "1.fc39.copr8029427", "arch": "x86_64" }, { "name": "R-CRAN-fdaPDE", "epoch": null, "version": "1.1.20", "release": "1.fc39.copr8029427", "arch": "x86_64" }, { "name": "R-CRAN-fdaPDE", "epoch": null, "version": "1.1.20", "release": "1.fc39.copr8029427", "arch": "src" }, { "name": "R-CRAN-fdaPDE-debugsource", "epoch": null, "version": "1.1.20", "release": "1.fc39.copr8029427", "arch": "x86_64" } ] } RPMResults finished